Quality Prediction for Injection Molding by Using a Multilayer Perceptron Neural Network
نویسندگان
چکیده
منابع مشابه
A Recurrent Neural Network for Warpage Prediction in Injection Molding
Injection molding is classified as one of the most flexible and economical manufacturing processes with high volume of plastic molded parts. Causes of variations in the process are related to the vast number of factors acting during a regular production run, which directly impacts the quality of final products. A common quality trouble in finished products is the presence of warpage. Thus, this...
متن کاملA neural network-based approach for dynamic quality prediction in a plastic injection molding process
This paper presents an innovative neural network-based quality prediction system for a plastic injection molding process. A self-organizing map plus a back-propagation neural network (SOM-BPNN) model is proposed for creating a dynamic quality predictor. Three SOM-based dynamic extraction parameters with six manufacturing process parameters and one level of product quality were dedicated to trai...
متن کاملPredicting Fiberboard Physical Properties using Multilayer Perceptron Neural Network
Medium Density Fiberboard (MDF) is an engineered wood used in furniture industry as an alternative to solid wood. Bes ides using forest wood and rubber wood as the main source of fiber, oil palm biomass was proven as an excellent substitute. Regardless of any fiber used, identifying its strength level is the main issue. Therefore, prior to releasing processed fiberboards for manufacturing use, ...
متن کاملA Hybrid Multilayer Perceptron Neural Network for Direct Marketing
Data Mining is the use of algorithms to extract the information and patterns derived by the knowledge discovery in database process. It is often referred to as supervised learning because the classes are determined before examining the data. In many data mining applications that address classification problems, feature and model selection are considered as key tasks. That is, appropriate input ...
متن کاملClassification of fused face images using multilayer perceptron neural network
This paper presents a concept of image pixel fusion of visual and thermal faces, which can significantly improve the overall performance of a face recognition system. Several factors affect face recognition performance including pose variations, facial expression changes, occlusions, and most importantly illumination changes. So, image pixel fusion of thermal and visual images is a solution to ...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Polymers
سال: 2020
ISSN: 2073-4360
DOI: 10.3390/polym12081812