Posts Tagged
Scientific Injection Molding
Choosing the right plastic injection molder is one of the most important decisions you’ll make for your product and supply chain. While part price often receives the most attention, factors such as launch performance, manufacturing consistency, engineering expertise, and long-term business stability can have a much greater impact on quality, delivery, and total cost of…
Traditional methods of plastic injection molding rely on process development based on machine inputs. This means that an injection molder must trust that the settings they are entering on the machine are being reflected accurately in the actual process. The problem with this informal method is that it often introduces uncontrolled risk in terms of…
It’s an OEM’s worst nightmare: a bad batch of parts brings the assembly line to a standstill, causing expensive downtime and delaying the delivery of finished products and sales. With the complexity of raw plastic materials and multiple variables in the molding process, there’s always a possibility that out-of-spec plastic parts can make it through…
Scientific Injection Molding is a powerful, data-driven approach for optimizing the production of plastic injection molded parts. But it can only be truly effective when it is backed by robust processes and strategies for analyzing and using data collected during the molding process. In this article, we’ll take a closer look at how New Berlin…
Scientific injection molding (SIM) is a systematic process of evaluating a polymer’s viscous flow and solidification in a molded design to maximize physical properties and dimensional stability. This process is ideal for complex plastic parts but can be applied to any molding project. Our informative eGuide examines the benefits scientific injection molding, outlines the five…
New Berlin Plastics invested in the eDart as part of our ever-evolving scientific injection molding practice. The eDart allows us to collect vast amounts of data during machine cycle which is then analyzed to create data-driven procedures that lead to consistent and reliable production. Some of the benefits include: Verifying whether the right processes are…
