ArticlePolymers2023
Optimize Injection-Molding Process Parameters and Build an Adaptive Process Control System Based on Nozzle Pressure Profile and Clamping Force.
Article in Polymers, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
4 citing papers in PubMed.
- Polymer Melt Stability Monitoring in Injection Moulding Using LSTM-Based Time-Series Models.Polymers · 2025Article
- From Manual to Automated: Exploring the Evolution of Switchover Methods in Injection Molding Processes-A Review.Polymers · 2025Review
- Nozzle Pressure- and Screw Position-Based CAE Scientific Process Parameter Setup for Injection Molding Process.Polymers · 2025Article
- Article
Corrections and comments
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Authors and funding
8 authors.
Funding
Abstract
The injection-molding process is a non-linear process, and the product quality and long-term production stability are affected by several factors. To stabilize the product quality effected by these factors, this research establishes a standard process parameter setup procedure and an adaptive process control system based on the data collected by a nozzle pressure sensor and a tie-bar strain gauge to achieve this goal. In this research, process parameters such as the
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Registered trials
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