scientific molding
'Engage, Innovate, Evolve': Future-Oriented Culture at Octex Group
Using science, technology, and talent to give high-tech customers unprecedented speed to market.
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Determining Vent Depths in Injection Molding
Experiments reveal the relationship between vent depths and part thickness, allowing molders and moldmakers to more precisely determine vent dimensions.
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Injection Molding: Nozzle Heaters & Thermocouples: A Case of Wiring Done Wrong
Incorrect placement of wires for these components frustrates molders and costs them money to boot.
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Injection Molding: New Mold Trial—Will It Run 24/7?
Use this nine-step process to make sure you’ll be making good parts after a successful trial. But even then, be prepared for some hiccups.
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Materials: Cycle Time—Science vs. Rules of Thumb, Part 6
This installment—on elastomers—completes a series, whose theme is to bring more science to the discipline of molding. The overall message: Ask a lot of questions whenever someone posits this or that ‘rule of thumb’ about processing.
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Injection Molding: No, Backpressure Does NOT Raise Melt Temperature
It’s a classic confusion between cause and effect. Melt temperature rises when screw speed is increased. Check out this data.
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Materials: Cycle Time: Science vs. Rules of Thumb—Part 5
Let’s examine the behavior of semi-crystalline materials that never reach their glass-transition temperature as they cool.
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Injection Molding: DOEs Done Right
Doing DOEs for the sake of doing them wastes time and money. But they can provide vital information to determine which process variable is determining a critical part characteristic.
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Cycle Time: Science vs. Rules of Thumb—Part 4
While laboratory tests are helpful in determining how polymers behave, you must remember the fundamental differences between laboratory measurements and the real world of plastic processing. Let’s examine semi-crystalline polymers here.
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Injection Molding: How Repeatable is Repeatability?
Process repeatability is not a constant, but varies over time in response to a number of variables. That variation is not captured by a snapshot in time—measuring a discrete sample of parts. And the only way to manage that variation is with process controls that adjust each and every cycle.
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