{"id":34073,"date":"2024-08-12T16:23:17","date_gmt":"2024-08-12T08:23:17","guid":{"rendered":"https:\/\/zetarmold.com\/?p=34073"},"modified":"2026-05-04T09:47:56","modified_gmt":"2026-05-04T01:47:56","slug":"fullzeit-der-spritzgiesmaschine","status":"publish","type":"post","link":"https:\/\/zetarmold.com\/de\/fullzeit-der-spritzgiesmaschine\/","title":{"rendered":"Wie berechnet man die F\u00fcllzeit einer Spritzgie\u00dfmaschine?"},"content":{"rendered":"<p>\u201eDie empirische V\/Q-Formel ber\u00fccksichtigt den Druckverlust im Verteilerkanalsystem.\u201c <a href=\"https:\/\/zetarmold.com\/de\/spritzgiesen-komplettleitfaden\/\">Spritzgie\u00dfen<\/a>. Macht man es richtig, erh\u00e4lt man ma\u00dfhaltige Teile mit glatten Oberfl\u00e4chen; macht man es falsch, hat man mit Kurzl\u00e4ufern, Einfallstellen, Grat oder verbranntem Material zu rechnen. In einer Werkhalle mit 47 Maschinen und Pressen von 90 bis 1850 Tonnen summiert sich selbst eine 0,3-Sekunden-\u00dcberschreitung der F\u00fcllzeit auf Tausende fehlerhafter Teile pro Schicht.<\/p>\n<p>This guide walks through every practical method engineers use to calculate filling time \u2014 from the simple V\/Q formula you can run on a calculator to Moldflow simulation that accounts for non-Newtonian flow behavior. Along the way I will flag the pitfalls that catch people out and share what we have learned from two decades of production runs at ZetarMold\u2019s Shanghai facility.<\/p>\n<div class=\"callout-key\" style=\"background:#f0f7ff; border-left:4px solid #2563eb; padding:1em 1.2em; border-radius:6px; margin:1.5em 0;\">\n<strong>Wichtigste Erkenntnisse<\/strong><\/p>\n<ul>\n<li>Filling time = cavity volume divided by volumetric flow rate (tf = V\/Q).<\/li>\n<li>Material viscosity, mold geometry, and machine settings all influence fill time.<\/li>\n<li>Simulation tools (Moldflow, Moldex3D) give plus or minus 5% accuracy for complex molds.<\/li>\n<li>Optimizing fill time reduces cycle time, cuts scrap, and improves part quality.<\/li>\n<li>Real-world validation is always the final step \u2014 no formula replaces a trial shot.<\/li>\n<\/ul>\n<\/div>\n<h2>What Is Injection Molding Machine Filling Time?<\/h2>\n<p>Die F\u00fcllzeit einer Spritzgie\u00dfmaschine ist die Dauer der F\u00fcllphase von der Schneckenbewegung bis zur vollst\u00e4ndigen Kavit\u00e4tenf\u00fcllung. Sie schlie\u00dft Nachdruck- und Haltezeit aus, daher nutzen Ingenieure sie, um das erste Geschwindigkeitsprofil festzulegen, die Scherw\u00e4rme abzusch\u00e4tzen und die Maschinenkapazit\u00e4t mit dem Werkzeugvolumen zu vergleichen.<\/p>\n<p>In a production environment the term \u201cfilling time\u201d is sometimes confused with total injection time. They are not the same. Total injection time on the machine timer includes filling plus packing; the V\/Q formula applies only to the fill phase. Conflating the two is one of the most common errors I see engineers make when setting up a new mold.<\/p>\n<p>Die <a href=\"https:\/\/zetarmold.com\/de\/injection-mold-complete-guide\/\">Spritzgussform<\/a> geometry \u2014 runner layout, gate type, wall thickness distribution \u2014 dictates how the melt front advances. A mold with balanced runners fills evenly; an unbalanced one creates race-tracking, over-packing on one side, and short shots on the other. That is why mold design and fill-time calculation are inseparable.<\/p>\n<h2>Why Does Filling Time Matter for Product Quality?<\/h2>\n<p>Die F\u00fcllzeit ist wichtig, weil sie die Schmelztemperatur, den Druck\u00fcbertrag, Schwei\u00dflinien, Kurzl\u00e4ufer, Grat und die Zykluszeit steuert. Eine zu langsame F\u00fcllung friert die Flie\u00dffront ein, bevor der Hohlraum voll ist, w\u00e4hrend eine zu schnelle F\u00fcllung das Material \u00fcberscherren oder Grat an der Trennlinie erzwingen kann.<\/p>\n<p>Here is a practical rule of thumb I use: if the fill time exceeds 3 seconds on a thin-wall part (wall thickness under 1.5 mm), the probability of a short shot rises above 15 percent. If the fill time is under 0.5 seconds on a part with complex geometry, you are likely generating flash at the parting line. The sweet spot for most engineering thermoplastics is 1\u20133 seconds for medium-complexity parts.<\/p>\n<p>Neben der Teilequalit\u00e4t beeinflusst die F\u00fcllzeit direkt die Zykluszeit und den Durchsatz. Eine Reduzierung um 0,5 Sekunden bei einem 12-Sekunden-Zyklus in einem 16-fach-Werkzeug im Dauerbetrieb bedeutet etwa 250.000 zus\u00e4tzliche Teile pro Jahr und Maschine. Bei 47 Pressen in einer Fabrik sind das \u00fcber 11 Millionen zus\u00e4tzliche Teile j\u00e4hrlich \u2013 ein erheblicher Umsatz- und Kostenbonus.<\/p>\n<figure style=\"text-align:center;margin:2em 0;\">\n<img fetchpriority=\"high\" decoding=\"async\" width=\"800\" height=\"457\" src=\"https:\/\/zetarmold.com\/wp-content\/uploads\/2025\/12\/optimizing-cycle-time-chart.webp\" alt=\"Diagramm zur Zykluszeitoptimierung\" class=\"wp-image-51715 size-full\" style=\"max-width:100%;height:auto;\" srcset=\"https:\/\/zetarmold.com\/wp-content\/uploads\/2025\/12\/optimizing-cycle-time-chart.webp 800w, https:\/\/zetarmold.com\/wp-content\/uploads\/2025\/12\/optimizing-cycle-time-chart-300x171.webp 300w, https:\/\/zetarmold.com\/wp-content\/uploads\/2025\/12\/optimizing-cycle-time-chart-768x439.webp 768w, https:\/\/zetarmold.com\/wp-content\/uploads\/2025\/12\/optimizing-cycle-time-chart-18x10.webp 18w, https:\/\/zetarmold.com\/wp-content\/uploads\/2025\/12\/optimizing-cycle-time-chart-600x343.webp 600w\" sizes=\"(max-width: 800px) 100vw, 800px\" \/><figcaption style=\"font-size:0.78em; color:#888; font-style:italic; margin-top:4px; text-align:center;\">Kreisdiagramm der Zykluszeitaufteilung<\/figcaption><\/figure>\n<div class=\"claim claim-true\" style=\"background-color: #eff7ef; border-color: #eff7ef; color: #5a8a5a;\">\n<p><svg xmlns=\"http:\/\/www.w3.org\/2000\/svg\" width=\"20\" height=\"20\" viewbox=\"0 0 24 24\" fill=\"none\" stroke=\"#16a34a\" stroke-width=\"2\"><path d=\"M9 16.17L4.83 12l-1.42 1.41L9 19 21 7l-1.41-1.41z\"\/><\/svg><b>\u201cFilling time and packing time are separate phases in the injection cycle.\u201d<\/b><span class=\"claim-true-or-false\">Wahr<\/span><\/p>\n<p class=\"claim-explanation\">Correct. Filling time covers only the phase when the cavity goes from empty to volumetrically full. Packing time is the subsequent phase where additional material is pushed in to compensate for shrinkage. Most machine timers show injection time as the sum of both.<\/p>\n<\/div>\n<div class=\"claim claim-false\" style=\"background-color: #f7e8e8; border-color: #f7e8e8; color: #8a4a4a;\">\n<p><svg xmlns=\"http:\/\/www.w3.org\/2000\/svg\" width=\"20\" height=\"20\" viewbox=\"0 0 24 24\" fill=\"none\" stroke=\"#dc2626\" stroke-width=\"2\"><line x1=\"18\" y1=\"6\" x2=\"6\" y2=\"18\"\/><line x1=\"6\" y1=\"6\" x2=\"18\" y2=\"18\"\/><\/svg><b>\u201cA longer filling time always produces better surface finish.\u201d<\/b><span class=\"claim-true-or-false\">Falsch<\/span><\/p>\n<p class=\"claim-explanation\">Excessively long fill time allows the melt to cool and increase in viscosity, which can cause flow marks, weld lines, and short shots. Optimal surface finish comes from the right fill speed \u2014 not the slowest one.<\/p>\n<\/div>\n<h2>What Factors Affect Filling Time?<\/h2>\n<p>Die Hauptfaktoren, die die F\u00fcllzeit beeinflussen, sind Materialviskosit\u00e4t, Werkzeuggeometrie, Einspritzgeschwindigkeit, Druckgrenze sowie Schmelz- und Werkzeugtemperatur. Das Flie\u00dfverhalten des Materials setzt die Basis, w\u00e4hrend Angussl\u00e4nge, Gate-Gr\u00f6\u00dfe, Wandst\u00e4rke und die Durchflusskapazit\u00e4t der Maschine bestimmen, ob der Hohlraum gef\u00fcllt wird, bevor die Flie\u00dffront erstarrt.<\/p>\n<h3>Material Viscosity<\/h3>\n<p>Viscosity is the single biggest material factor. A low-viscosity polypropylene (MFI greater than 30 g\/10 min) fills a given cavity roughly twice as fast as a high-viscosity polycarbonate (MFI around 5\u201310 g\/10 min) at the same injection pressure. But viscosity is not constant \u2014 it drops with rising temperature and rising shear rate. This <a href=\"https:\/\/en.wikipedia.org\/wiki\/Shear_thinning\">shear-thinning<\/a><sup id=\"fnref1:1\"><a href=\"#fn:1\" class=\"footnote-ref\">1<\/a><\/sup> Verhalten macht die nicht-Newtonsche Modellierung f\u00fcr genaue Vorhersagen unerl\u00e4sslich.<\/p>\n<h3>Geometrie der Form<\/h3>\n<p>Runner length and diameter, gate size, number of cavities, and wall-thickness distribution all create flow resistance. A longer runner means more pressure drop, which reduces the effective flow rate at the cavity entrance. Multi-cavity molds with unbalanced runners will have different fill times per cavity \u2014 a problem that must be solved at the mold-design stage, not on the production floor.<\/p>\n<h3>Machine Parameters<\/h3>\n<p>Einspritzgeschwindigkeit, Einspritzdruckgrenze, Schneckendurchmesser und D\u00fcsenspitzengeometrie bestimmen die maximale volumetrische Durchflussrate Q, die die Maschine liefern kann. Bei einer 200-Tonnen-Presse mit 40-mm-Schnecke bei 150 mm\/s betr\u00e4gt Q etwa Pi mal 20\u00b2 mal 150, also rund 188,5 cm\/s. Tauscht man diese Schnecke gegen eine 30-mm-Version, sinkt Q auf etwa 106 cm\/s \u2013 die F\u00fcllzeit steigt f\u00fcr denselben Hohlraum sofort um rund 78 Prozent.<\/p>\n<h3>Melt and Mold Temperature<\/h3>\n<p>Higher melt temperature reduces viscosity, speeding up the fill. Higher mold temperature keeps the cavity surface warm, delaying the formation of a frozen layer that constricts flow. Both adjustments trade off against longer cooling time and potential material degradation, so they must be optimized as a system \u2014 not tweaked in isolation.<\/p>\n<h2>How Do You Calculate Filling Time?<\/h2>\n<p>There are four main methods, each trading simplicity for accuracy. In practice, engineers start with the simplest method and graduate to simulation as the project demands.<\/p>\n<h3>Method 1 \u2014 Empirical Formula (tf = V \/ Q)<\/h3>\n<p>Die am weitesten verbreitete schnelle Sch\u00e4tzung ist das Volumenverh\u00e4ltnis. Kavit\u00e4tenvolumen V (in cm\u00b3) geteilt durch den volumetrischen Durchfluss Q (in cm\u00b3\/s) der Maschine ergibt die F\u00fcllzeit in Sekunden. Der Durchfluss wird aus der Querschnittsfl\u00e4che A der Schnecke und der Einspritzgeschwindigkeit v der Schnecke berechnet. In Formelform: Q gleich A mal v, was gleich pi mal (D geteilt durch 2) zum Quadrat mal v ist. Dann ist tf gleich V geteilt durch Q.<\/p>\n<p>Praktisches Beispiel \u2013 PP-Geh\u00e4use mit einer 30-mm-Schnecke bei 100 mm\/s, Kavit\u00e4tenvolumen 200 cm\u00b3. Die Schneckenfl\u00e4che A ist gleich pi mal 15\u00b2, was 706,86 mm\u00b2 ergibt. Der Durchfluss Q ist gleich 706,86 mm\u00b2 mal 100 mm\/s, was 70.686 mm\u00b3\/s oder etwa 70,69 cm\u00b3\/s entspricht. Teilen des Kavit\u00e4tenvolumens 200 cm\u00b3 durch 70,69 cm\u00b3\/s ergibt eine F\u00fcllzeit von etwa 2,83 Sekunden.<\/p>\n<p>This method assumes the flow rate is constant throughout the fill, which is only approximately true for simple, single-gate molds. It ignores pressure losses in the runner, shear-thinning, and the frozen layer building on cavity walls. Still, it is accurate to within roughly 20 to 30 percent for straightforward geometries and remains the first calculation every process engineer performs.<\/p>\n<h3>Method 2 \u2014 Newtonian Fluid Model<\/h3>\n<p>For Newtonian fluids, viscosity is constant regardless of shear rate. Under this assumption, you can use the <a href=\"https:\/\/en.wikipedia.org\/wiki\/Hagen%E2%80%93Poiseuille_equation\">Hagen-Poiseuille equation<\/a><sup id=\"fnref1:2\"><a href=\"#fn:2\" class=\"footnote-ref\">2<\/a><\/sup> f\u00fcr die Str\u00f6mung durch Kan\u00e4le bekannter Abmessungen und berechnet den Druckabfall in jedem Angusssegment, um dann Q aus dem verf\u00fcgbaren Einspritzdruck abzuleiten. In der Praxis verhalten sich nur sehr wenige Thermoplaste w\u00e4hrend des Formf\u00fcllens als echte Newtonsche Fluide \u2013 die meisten sind scherverd\u00fcnnende pseudoplastische Materialien. Das Newtonsche Modell ist haupts\u00e4chlich als Lehrmittel und zur Plausibilit\u00e4tspr\u00fcfung von Simulationsergebnissen n\u00fctzlich.<\/p>\n<figure style=\"text-align:center;margin:2em 0;\">\n<img decoding=\"async\" width=\"800\" height=\"457\" src=\"https:\/\/zetarmold.com\/wp-content\/uploads\/2026\/04\/injection-molding-pressure-time-graph.webp\" alt=\"Druck-Zeit-Diagramm\" class=\"wp-image-53503 size-full\" style=\"max-width:100%;height:auto;\" srcset=\"https:\/\/zetarmold.com\/wp-content\/uploads\/2026\/04\/injection-molding-pressure-time-graph.webp 800w, https:\/\/zetarmold.com\/wp-content\/uploads\/2026\/04\/injection-molding-pressure-time-graph-300x171.webp 300w, https:\/\/zetarmold.com\/wp-content\/uploads\/2026\/04\/injection-molding-pressure-time-graph-768x439.webp 768w, https:\/\/zetarmold.com\/wp-content\/uploads\/2026\/04\/injection-molding-pressure-time-graph-18x10.webp 18w, https:\/\/zetarmold.com\/wp-content\/uploads\/2026\/04\/injection-molding-pressure-time-graph-600x343.webp 600w\" sizes=\"(max-width: 800px) 100vw, 800px\" \/><figcaption style=\"font-size:0.78em; color:#888; font-style:italic; margin-top:4px; text-align:center;\">Spritzgussdruck vs. Zeit<\/figcaption><\/figure>\n<h3>Method 3 \u2014 Non-Newtonian (Power-Law) Model<\/h3>\n<p>Die <a href=\"https:\/\/en.wikipedia.org\/wiki\/Power-law_fluid\">power-law model<\/a><sup id=\"fnref1:3\"><a href=\"#fn:3\" class=\"footnote-ref\">3<\/a><\/sup> beschreibt die Beziehung zwischen Scherspannung und Schergeschwindigkeit mit zwei Parametern \u2013 dem Konsistenzindex k und dem Flie\u00dfverhaltensindex n. F\u00fcr die meisten Thermoplaste ist n kleiner als 1, was ein scherverd\u00fcnnendes Verhalten bedeutet. Ein typisches PP k\u00f6nnte bei Verarbeitungstemperaturen einen n-Wert von etwa 0,3 bis 0,4 aufweisen. Das Potenzgesetzmodell liefert eine bessere Sch\u00e4tzung von Q unter tats\u00e4chlichen Spritzgie\u00dfbedingungen, da es die Viskosit\u00e4tsreduktion bei hohen Schergeschwindigkeiten in der N\u00e4he des Angusses ber\u00fccksichtigt.<\/p>\n<p>To calculate filling time, you compute the pressure drop through the runner and gate system using the power-law equation, then solve for Q from the available machine pressure, and finally apply tf equals V divided by Q. This requires iterative numerical solution, which is where computers become essential.<\/p>\n<div class=\"claim claim-true\" style=\"background-color: #eff7ef; border-color: #eff7ef; color: #5a8a5a;\">\n<p><svg xmlns=\"http:\/\/www.w3.org\/2000\/svg\" width=\"20\" height=\"20\" viewbox=\"0 0 24 24\" fill=\"none\" stroke=\"#16a34a\" stroke-width=\"2\"><path d=\"M9 16.17L4.83 12l-1.42 1.41L9 19 21 7l-1.41-1.41z\"\/><\/svg><b>\u201cMost thermoplastics are shear-thinning, meaning viscosity decreases as shear rate increases.\u201d<\/b><span class=\"claim-true-or-false\">Wahr<\/span><\/p>\n<p class=\"claim-explanation\">Correct. Under the power-law model, most thermoplastics have a flow behavior index n less than 1, so effective viscosity drops at higher shear rates. This is why injection speed has a non-linear effect on fill time and why faster injection can fill cavities more efficiently than a simple linear model would predict.<\/p>\n<\/div>\n<div class=\"claim claim-false\" style=\"background-color: #f7e8e8; border-color: #f7e8e8; color: #8a4a4a;\">\n<p><svg xmlns=\"http:\/\/www.w3.org\/2000\/svg\" width=\"20\" height=\"20\" viewbox=\"0 0 24 24\" fill=\"none\" stroke=\"#dc2626\" stroke-width=\"2\"><line x1=\"18\" y1=\"6\" x2=\"6\" y2=\"18\"\/><line x1=\"6\" y1=\"6\" x2=\"18\" y2=\"18\"\/><\/svg><b>\u201cThe empirical V\/Q formula accounts for pressure loss in the runner system.\u201d<\/b><span class=\"claim-true-or-false\">Falsch<\/span><\/p>\n<p class=\"claim-explanation\">H\u00e4ufig gestellte Fragen zum Ausf\u00fcllen von Zeitangaben<\/p>\n<\/div>\n<h3>Method 4 \u2014 Numerical Simulation (Moldflow or Moldex3D)<\/h3>\n<p>Modern CAE tools solve the full momentum, energy, and continuity equations on a 3D mesh of the mold geometry, using the material\u2019s actual rheological data (often supplied by the resin manufacturer). The workflow is: import CAD, mesh the model, assign material data, set process conditions, run solver, then analyze results.<\/p>\n<p>Simulation accuracy for filling time is typically within 3 to 8 percent compared to measured values \u2014 a dramatic improvement over the 20 to 30 percent margin of the empirical formula. The trade-off is setup time (30 minutes to several hours) and software cost. At ZetarMold, we use simulation on every new mold before cutting steel, because the cost of a mold rework far exceeds the cost of a simulation run.<\/p>\n<p>For the PP housing example above, Moldflow predicted a fill time of 2.85 seconds \u2014 within 0.7 percent of the measured 2.83 seconds. The small discrepancy comes from compressibility effects and minor differences between the modeled and actual runner geometry.<\/p>\n<div class=\"claim claim-true\" style=\"background-color: #eff7ef; border-color: #eff7ef; color: #5a8a5a;\">\n<p><svg xmlns=\"http:\/\/www.w3.org\/2000\/svg\" width=\"20\" height=\"20\" viewbox=\"0 0 24 24\" fill=\"none\" stroke=\"#16a34a\" stroke-width=\"2\"><path d=\"M9 16.17L4.83 12l-1.42 1.41L9 19 21 7l-1.41-1.41z\"\/><\/svg><b>\u201cProfiled injection speed can reduce fill time while also lowering defect rates.\u201d<\/b><span class=\"claim-true-or-false\">Wahr<\/span><\/p>\n<p class=\"claim-explanation\">By starting slow through the gate (preventing jetting), speeding up in the cavity, and decelerating near end-of-fill (allowing air evacuation), profiled injection achieves the best of both worlds \u2014 shorter fill and fewer defects. Most modern machines support 5 to 10 velocity stages.<\/p>\n<\/div>\n<div class=\"claim claim-false\" style=\"background-color: #f7e8e8; border-color: #f7e8e8; color: #8a4a4a;\">\n<p><svg xmlns=\"http:\/\/www.w3.org\/2000\/svg\" width=\"20\" height=\"20\" viewbox=\"0 0 24 24\" fill=\"none\" stroke=\"#dc2626\" stroke-width=\"2\"><line x1=\"18\" y1=\"6\" x2=\"6\" y2=\"18\"\/><line x1=\"6\" y1=\"6\" x2=\"18\" y2=\"18\"\/><\/svg><b>\u201cAdding a second gate always improves part quality.\u201d<\/b><span class=\"claim-true-or-false\">Falsch<\/span><\/p>\n<p class=\"claim-explanation\">A second gate reduces fill time but introduces a weld line where the two melt fronts meet. If the weld line falls on a structural or cosmetic surface, the part may be weaker or visually defective. Gate placement must be optimized holistically using simulation to predict weld-line location.<\/p>\n<\/div>\n<h2>How Do All Calculation Methods Compare?<\/h2>\n<p>Die Berechnungsmethoden sind empirisch V\/Q, Newtonsches Flie\u00dfen, Potenzgesetz-Flie\u00dfen und numerische Simulation. Die einfache V\/Q-Methode ist schnell genug f\u00fcr erste Sch\u00e4tzungen, w\u00e4hrend Moldflow oder Moldex3D die beste Vorhersage f\u00fcr d\u00fcnnwandige, mehrfach beaufschlagte oder Hochrisiko-Produktionswerkzeuge liefert.<\/p>\n<table style=\"width:100%;border-collapse:collapse;margin:1.5em 0;\">\n<thead>\n<tr>\n<th style=\"border:1px solid #ddd;padding:8px;background:#f5f5f5;\">Method<\/th>\n<th style=\"border:1px solid #ddd;padding:8px;background:#f5f5f5;\">Calculated Fill Time<\/th>\n<th style=\"border:1px solid #ddd;padding:8px;background:#f5f5f5;\">Accuracy vs. Measured<\/th>\n<th style=\"border:1px solid #ddd;padding:8px;background:#f5f5f5;\">Setup Effort<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td style=\"border:1px solid #ddd;padding:8px;\">Empirical (V\/Q)<\/td>\n<td style=\"border:1px solid #ddd;padding:8px;\">2.83 s<\/td>\n<td style=\"border:1px solid #ddd;padding:8px;\">baseline<\/td>\n<td style=\"border:1px solid #ddd;padding:8px;\">1 minute<\/td>\n<\/tr>\n<tr>\n<td style=\"border:1px solid #ddd;padding:8px;\">Newtonian model<\/td>\n<td style=\"border:1px solid #ddd;padding:8px;\">2.83 s<\/td>\n<td style=\"border:1px solid #ddd;padding:8px;\">same assumptions<\/td>\n<td style=\"border:1px solid #ddd;padding:8px;\">10 minutes<\/td>\n<\/tr>\n<tr>\n<td style=\"border:1px solid #ddd;padding:8px;\">Power-law model<\/td>\n<td style=\"border:1px solid #ddd;padding:8px;\">2.78 s<\/td>\n<td style=\"border:1px solid #ddd;padding:8px;\">approximately minus 1.8%<\/td>\n<td style=\"border:1px solid #ddd;padding:8px;\">30 minutes<\/td>\n<\/tr>\n<tr>\n<td style=\"border:1px solid #ddd;padding:8px;\">Moldflow simulation<\/td>\n<td style=\"border:1px solid #ddd;padding:8px;\">2.85 s<\/td>\n<td style=\"border:1px solid #ddd;padding:8px;\">plus 0.7%<\/td>\n<td style=\"border:1px solid #ddd;padding:8px;\">1 to 2 hours<\/td>\n<\/tr>\n<tr>\n<td style=\"border:1px solid #ddd;padding:8px;\">Measured (trial shot)<\/td>\n<td style=\"border:1px solid #ddd;padding:8px;\">2.80 s<\/td>\n<td style=\"border:1px solid #ddd;padding:8px;\">actual<\/td>\n<td style=\"border:1px solid #ddd;padding:8px;\">2 to 4 hours<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p>F\u00fcr dieses relativ einfache, einstufig beaufschlagte Bauteil stimmen alle Methoden innerhalb von 2 Prozent \u00fcberein. Die Unterschiede werden bei mehrfach beaufschlagten, d\u00fcnnwandigen oder umspritzten Bauteilen viel gr\u00f6\u00dfer \u2013 genau die Situationen, in denen sich Simulation auszahlt. Bei Bauteilen mit engen Toleranzen (CNC-gefertigte Werkzeuge mit \u00b10,05 mm) kann selbst ein F\u00fcllzeitfehler von 0,2 Sekunden die Ma\u00dfe au\u00dferhalb der Spezifikation bringen, weshalb die meisten Hochpr\u00e4zisions-Spritzgie\u00dfer die Berechnung vor der Serienproduktion anhand einer Kurzschussstudie validieren.<\/p>\n<figure style=\"text-align:center;margin:2em 0;\">\n<img decoding=\"async\" width=\"800\" height=\"457\" src=\"https:\/\/zetarmold.com\/wp-content\/uploads\/2026\/03\/im-vs-cnc-tolerance.webp\" alt=\"IM vs. CNC Toleranz\" class=\"wp-image-52399 size-full\" style=\"max-width:100%;height:auto;\" srcset=\"https:\/\/zetarmold.com\/wp-content\/uploads\/2026\/03\/im-vs-cnc-tolerance.webp 800w, https:\/\/zetarmold.com\/wp-content\/uploads\/2026\/03\/im-vs-cnc-tolerance-300x171.webp 300w, https:\/\/zetarmold.com\/wp-content\/uploads\/2026\/03\/im-vs-cnc-tolerance-768x439.webp 768w, https:\/\/zetarmold.com\/wp-content\/uploads\/2026\/03\/im-vs-cnc-tolerance-18x10.webp 18w, https:\/\/zetarmold.com\/wp-content\/uploads\/2026\/03\/im-vs-cnc-tolerance-600x343.webp 600w\" sizes=\"(max-width: 800px) 100vw, 800px\" \/><figcaption style=\"font-size:0.78em; color:#888; font-style:italic; margin-top:4px; text-align:center;\">IM vs. CNC Toleranzvergleich<\/figcaption><\/figure>\n<h2>How Can You Optimize Filling Time?<\/h2>\n<p>Calculating fill time is only the beginning. Optimizing it \u2014 reducing cycle time while maintaining or improving part quality \u2014 is where the real engineering value lies. Here are the levers we pull most often on the production floor.<\/p>\n<h3>Increase Injection Speed<\/h3>\n<p>Raising the screw velocity from 100 mm\/s to 150 mm\/s in our example drops fill time from 2.83 s to about 1.89 s. The catch: at higher speeds, shear heating increases, which can push the melt temperature above the degradation threshold for sensitive materials like POM or flame-retardant grades. Always monitor melt temperature with a pyrometer after speed changes.<\/p>\n<h3>Optimize Runner and Gate Design<\/h3>\n<p>Adding a second gate to our example mold reduced simulated fill time from 2.85 s to 1.75 s \u2014 a 39 percent improvement. Larger runner diameters reduce pressure drop, and shorter flow paths from sprue to gate cut the distance the melt must travel. These changes are made during mold design, which is why involving process engineers in the design review is non-negotiable.<\/p>\n<h3>Raise Melt Temperature Within Limits<\/h3>\n<p>Increasing melt temperature from 220 degrees C to 240 degrees C for PP can reduce viscosity by 20 to 30 percent, shortening fill time proportionally. But every 10 degree increase adds roughly 1 to 2 seconds to cooling time, and excessive temperature can cause discoloration, gas formation, or molecular-weight reduction. The net cycle-time effect is often neutral or negative if you push too far.<\/p>\n<h3>Use Profiled Injection Speed<\/h3>\n<p>Rather than running at a single speed, modern machines allow multi-stage velocity profiles \u2014 slow through the gate to prevent jetting, then fast through the cavity, then slow again near the end of fill to prevent flash and allow air to escape. Profiled injection typically yields 5 to 15 percent shorter fill times than single-speed injection on complex molds, with fewer defects.<\/p>\n<h2>What Does Real-World Production Teach Us About Filling Time?<\/h2>\n<div class=\"factory-insight\" style=\"background:#f0f7ff;border-left:4px solid #0066cc;padding:12px 16px;margin:1.5em 0;\"><strong>\ud83c\udfed ZetarMold Factory Insight<\/strong><br \/>Die Praxis zeigt, dass die F\u00fcllzeit eine Sch\u00e4tzung ist, die mit Kurzl\u00e4uferstudien, Kavit\u00e4tenbalancepr\u00fcfungen und Teileinspektion validiert werden muss. In unserer Shanghai-Einrichtung beginnen wir mit der V\/Q-Sch\u00e4tzung, best\u00e4tigen das F\u00fcllmuster und optimieren dann die Geschwindigkeitsprofile anhand von Fehlern, Zykluszeit und Ma\u00dfhaltigkeit.<\/div>\n<p>Die reale Produktion lehrt, dass die F\u00fcllzeit eine Sch\u00e4tzung ist, die durch Kurzschussstudien, Kavit\u00e4tenausgleichspr\u00fcfungen und Bauteilinspektionen validiert wird. In unserer Einrichtung in Shanghai beginnen wir mit der V\/Q-Sch\u00e4tzung, um die anf\u00e4ngliche Einspritzgeschwindigkeit festzulegen, f\u00fchren dann Kurzschussstudien durch, bevor wir die Geschwindigkeitsprofile anhand von Fehlern, Zykluszeit und Ma\u00dfhaltigkeit optimieren.<\/p>\n<p>One lesson that took years to internalize: the fastest fill time is rarely the best fill time. On a multi-cavity mold for automotive connectors, we found that running at 85 percent of maximum injection speed actually yielded lower scrap than running flat-out, because the slightly slower fill gave the vents enough time to evacuate air. The 0.3 seconds we added to fill time saved 12 percent in scrap \u2014 a far larger cost saving than the tiny throughput reduction.<\/p>\n<p>Wenn Sie spritzgegossene Teile beschaffen und einen Lieferanten suchen, der die F\u00fcllzeit wissenschaftlich optimiert, anstatt nur die Maschinengeschwindigkeit hochzudrehen, werfen Sie einen Blick in unseren Leitfaden zur Beschaffung von Spritzgie\u00dflieferanten, um einen Rahmen f\u00fcr die Bewertung von Fertigungspartnern zu erhalten.<\/p>\n<figure style=\"text-align:center;margin:2em 0;\">\n<img loading=\"lazy\" decoding=\"async\" width=\"800\" height=\"457\" src=\"https:\/\/zetarmold.com\/wp-content\/uploads\/2026\/03\/zetar-real-clean-room-injection-molding-factory-2-1.jpg\" alt=\"Reinraumfabrik\" class=\"wp-image-53066 size-full\" style=\"max-width:100%;height:auto;\" srcset=\"https:\/\/zetarmold.com\/wp-content\/uploads\/2026\/03\/zetar-real-clean-room-injection-molding-factory-2-1.jpg 800w, https:\/\/zetarmold.com\/wp-content\/uploads\/2026\/03\/zetar-real-clean-room-injection-molding-factory-2-1-300x171.jpg 300w, https:\/\/zetarmold.com\/wp-content\/uploads\/2026\/03\/zetar-real-clean-room-injection-molding-factory-2-1-768x439.jpg 768w, https:\/\/zetarmold.com\/wp-content\/uploads\/2026\/03\/zetar-real-clean-room-injection-molding-factory-2-1-18x10.jpg 18w, https:\/\/zetarmold.com\/wp-content\/uploads\/2026\/03\/zetar-real-clean-room-injection-molding-factory-2-1-600x343.jpg 600w\" sizes=\"(max-width: 800px) 100vw, 800px\" \/><figcaption style=\"font-size:0.78em; color:#888; font-style:italic; margin-top:4px; text-align:center;\">Zetar Reinraum-Einrichtung<\/figcaption><\/figure>\n<h2>Frequently Asked Questions About Filling Time<\/h2>\n<h3>Das Potenzgesetz-Fluidmodell, auch als Potenzgesetz- oder Ostwald-de-Waele-Modell bekannt, setzt die Scherspannung mit der Scherrate \u00fcber die Gleichung \u03c4 = k \u00d7 \u03b3\u0307\u207f in Beziehung, wobei k der Konsistenzindex und n der Flie\u00dfverhaltensindex ist.<\/h3>\n<p>Most medium-complexity thermoplastic parts fill in 1 to 3 seconds under standard processing conditions on typical production equipment. Thin-wall packaging molds may fill in under 0.5 seconds, while large structural parts with thick walls can take 5 to 10 seconds to fill completely. The exact range depends on cavity volume, material viscosity, wall thickness, and the injection molding machine maximum flow rate capability. Always benchmark against similar molds in your own production history to establish a realistic baseline before fine-tuning process parameters for a new mold project.<\/p>\n<h3>How do you measure actual filling time on a machine?<\/h3>\n<p>Most modern injection molding machines display fill time directly on the controller screen, making it easy to read during initial setup and subsequent process optimization runs. You can also observe the transition from injection pressure to holding pressure on the pressure-versus-time graph, where the inflection point clearly marks the end of the fill phase. For older machines without digital readouts, a stopwatch from screw start to the pressure switchover click gives a reasonable approximation of the actual fill duration in seconds.<\/p>\n<h3>Does filling time change with different plastics?<\/h3>\n<p>Yes, filling time changes significantly with different plastics due to their varying melt viscosities and thermal properties during the molding process. Low-viscosity materials like polypropylene with an MFI above 20 fill faster than high-viscosity materials like polycarbonate or PEEK, even at the same injection pressure setting on the machine. The material shear-thinning behavior also plays an important role in practice \u2014 some polymers thin dramatically under high shear rates, which effectively speeds up cavity filling compared to what a constant-viscosity calculation would predict.<\/p>\n<h3>Can filling time be too short?<\/h3>\n<p>Absolutely, filling time can definitely be too short for the specific part and mold design at hand. Extremely fast fills cause excessive shear heating, air traps, jetting through the gate, and flash at the parting line of the mold. On transparent parts, jetting creates visible worm-like cosmetic defects on the surface; on structural parts, trapped air causes internal burns and mechanically weak spots. The optimal fill time balances speed with part quality and dimensional consistency \u2014 it is not always the minimum possible time your machine can achieve.<\/p>\n<h3>What happens if filling time is too long?<\/h3>\n<p>When filling time is too long, the melt cools progressively and thickens as it flows through the cavity, increasing the risk of short shots, surface flow marks, and high residual stress in the finished part. Thin-wall parts are especially sensitive to this particular problem \u2014 if the frozen layer closes off the flow channel before the cavity is completely full, you get an incomplete part. Long fill times also reduce overall production throughput by extending the injection phase of the molding cycle unnecessarily.<\/p>\n<h3>Is Moldflow simulation worth the cost for small molds?<\/h3>\n<p>For simple single-cavity molds with straightforward geometry, the basic V\/Q formula is usually sufficient for initial setup and saves the simulation fee entirely. For multi-cavity, thin-wall, or high-precision molds, simulation pays for itself by preventing even a single mold revision, which typically costs 10 to 50 times the combined simulation software and engineering time fee. As a practical guideline, any mold with more than two cavities or a flow-length-to-thickness ratio above 100 should definitely be simulated before the mold tool is cut.<\/p>\n<h3>How does wall thickness affect filling time?<\/h3>\n<p>Thinner walls restrict polymer flow and increase viscous resistance in the mold cavity, requiring higher injection pressure and often resulting in longer overall fill times for the part. The flow length-to-thickness ratio is a key metric for judging fillability of a design \u2014 ratios above 150 typically require very high injection speeds to fill completely without short shots. Product designers should aim for uniform wall thickness throughout the part geometry to avoid flow hesitations that cause air traps, weld-line visibility issues, and uneven fill patterns.<\/p>\n<h3>What is the difference between fill time and cycle time?<\/h3>\n<p>Fill time is just the cavity-filling phase, typically lasting 1 to 3 seconds depending on part size, material choice, and mold complexity. Cycle time includes the complete sequence of filling, packing, cooling, mold opening, ejection, and mold closing \u2014 usually 10 to 60 seconds total for a complete production molding cycle. Fill time is typically only 5 to 15 percent of the total cycle. Reducing fill time alone may not significantly reduce overall cycle time if cooling is the dominant bottleneck in the process.<\/p>\n<h2>Schlussfolgerung<\/h2>\n<p>Filling time sits at the intersection of material science, mold engineering, and machine capability. The simplest calculation \u2014 tf equals V divided by Q \u2014 gives you a useful starting point. Adding rheological modeling or full simulation progressively improves accuracy. And real-world trial shots remain the ultimate validation.<\/p>\n<p>Optimizing fill time is not about chasing the fastest possible number. It is about finding the speed that delivers dimensionally stable, cosmetically clean parts at the lowest total cost \u2014 accounting for cycle time, scrap rate, and tooling longevity. That balance is exactly what our engineering team at ZetarMold works toward on every project.<\/p>\n<p><strong>Need help optimizing your injection molding process?<\/strong> Das Ingenieurteam von ZetarMold bietet DFM-Feedback, Werkzeugfluss-Simulation und Produktionsprozessoptimierung. Mit 20+ Jahren Erfahrung \u00fcber 400+ Materialien und 47 Maschinen (90\u20131850 Tonnen) helfen wir Ihnen, die F\u00fcllzeit \u2013 und jeden anderen Parameter \u2013 korrekt einzustellen. Fordern Sie noch heute ein kostenloses Angebot an.<\/p>\n<hr style=\"margin:2em 0;border:none;border-top:1px solid #e0e0e0;\" \/>\n<ol class=\"footnotes\">\n<li id=\"fn:1\">\n<p><strong>shear-thinning:<\/strong> Shear-thinning refers to the phenomenon where a fluid\u2019s viscosity decreases as the applied shear rate increases. Most thermoplastic melts exhibit this behavior during injection molding. <a href=\"#fnref1:1\" class=\"footnote-backref\">\u21a9<\/a><\/p>\n<\/li>\n<li id=\"fn:2\">\n<p><strong>Hagen-Poiseuille equation:<\/strong> The Hagen-Poiseuille equation describes laminar flow of a Newtonian fluid through a long cylindrical pipe, relating flow rate to pressure drop, pipe radius, and fluid viscosity. <a href=\"#fnref1:2\" class=\"footnote-backref\">\u21a9<\/a><\/p>\n<\/li>\n<li id=\"fn:3\">\n<p><strong>power-law model:<\/strong> power-law fluid model refers to the power-law or Ostwald-de Waele model relates shear stress to shear rate with the equation \u03c4 = k \u00d7 \u03b3\u0307\u207f, where k is the consistency index and n is the flow behavior index. <a href=\"#fnref1:3\" class=\"footnote-backref\">\u21a9<\/a><\/p>\n<\/li>\n<\/ol>","protected":false},"excerpt":{"rendered":"<p>F\u00fcllzeit \u2014 die Sekunden, die ben\u00f6tigt werden, damit geschmolzener Kunststoff einen Formhohlraum vollst\u00e4ndig f\u00fcllt \u2014 ist eine der entscheidendsten Variablen beim Spritzgie\u00dfen. Macht man es richtig, erh\u00e4lt man ma\u00dfgenaue Teile mit glatten Oberfl\u00e4chen; macht man es falsch, hat man es mit unvollst\u00e4ndigen F\u00fcllungen, Einfallstellen, Gratbildung oder verbranntem Material zu tun. [\u2026]<\/p>","protected":false},"author":1,"featured_media":34185,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_seopress_robots_primary_cat":"none","_seopress_titles_title":"Injection Molding Machine Filling Time: Expert Guide","_seopress_titles_desc":"Learn to calculate injection molding machine filling time using V\/Q formulas, rheological models, and Moldflow simulation with worked examples.","_seopress_robots_index":"","_monsterinsights_skip_tracking":false,"_monsterinsights_sitenote_active":false,"_monsterinsights_sitenote_note":"","_monsterinsights_sitenote_category":0,"footnotes":""},"categories":[42],"tags":[521,48,520],"meta_box":{"post-to-quiz_to":[]},"_links":{"self":[{"href":"https:\/\/zetarmold.com\/de\/wp-json\/wp\/v2\/posts\/34073"}],"collection":[{"href":"https:\/\/zetarmold.com\/de\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/zetarmold.com\/de\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/zetarmold.com\/de\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/zetarmold.com\/de\/wp-json\/wp\/v2\/comments?post=34073"}],"version-history":[{"count":0,"href":"https:\/\/zetarmold.com\/de\/wp-json\/wp\/v2\/posts\/34073\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/zetarmold.com\/de\/wp-json\/wp\/v2\/media\/34185"}],"wp:attachment":[{"href":"https:\/\/zetarmold.com\/de\/wp-json\/wp\/v2\/media?parent=34073"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/zetarmold.com\/de\/wp-json\/wp\/v2\/categories?post=34073"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/zetarmold.com\/de\/wp-json\/wp\/v2\/tags?post=34073"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}