scholarly journals Common defects in injection molding of plastic products and their influence on product quality

2021 ◽  
Vol 5 (1) ◽  
pp. 7-14
Author(s):  
Tomasz Chaciński ◽  
Paweł Sutowski

The article deals with issues related to quality management and quality assessment in production of plastic articles in injection moulding. Expert knowledge collected in textbooks and literature allows to get acquainted with the characteristics of plastic article production and product quality defects arising in such processes. The characteristics and technology of plastics processing are discussed, the most frequent quality defects occurring in the production of articles made of plastics by injection molding are listed. On the basis of expert knowledge collected in the literature, a series of actions leading to the elimination of each of the mentioned quality defects has also been proposed.

2019 ◽  
Vol 48 (3) ◽  
pp. 152-160 ◽  
Author(s):  
Салима Мизанбекова ◽  
Salima Mizanbekova ◽  
Ирина Богомолова ◽  
Irina Bogomolova ◽  
Наталья Шатохина ◽  
...  

The present research features the Russian flour-milling industry. Flour manufacturers are a key component of the bread- baking complex of Russia, which ensures the food security of the country in the conditions of import substitution. However, large flour mills have recently experienced a decrease in profitability indicators, and production of low-quality flour by illegal producers has increased. Hence, the quality management system of flour milling enterprises requires new methodological approaches to assess the effectiveness of quality control procedures and innovative ways to improve product quality management that would ensure the competitive advantage. Quality management should be based on representative information obtained by using differential or complex methods, with numerical values established by measuring various indicators of product quality, i.e. objective and subjective. The quality assessment system should be used to determine the quality level at each stage of the innovation process, which will allow for effective management decisions. The considered quality assessment methods were adapted to the sectoral specifics of the milling industry, since the efficiency of grain processing largely depends on the stability of regimes at all its stages. The paper introduces an economic and mathematical model that includes the calculation of three groups of assessment indicators: the quality of preparation of raw materials for grinding, the quality of the technological process, and the technical level of production. The performance indicators of their activities proved to be significantly affected by the quality characteristics of the processed raw materials, the efficiency of process control, and the use of the potential of the technical level of production. The analytical studies conducted by the authors revealed trends in the product quality management at sectoral enterprises and proved the need to use system-oriented innovative solutions at all stages of flour production.


2018 ◽  
Vol 4 ◽  
pp. 36-46
Author(s):  
V.A. Litovka ◽  
A.S. Gaidaenko ◽  
A.A. Bekhter ◽  
A.Yu Balasanyan

2019 ◽  
Author(s):  
Kim Johnsen ◽  
Eirik Romslo Kleppe ◽  
Leila Faramarzi ◽  
Christophe Benquet ◽  
Erik Gjernes ◽  
...  

2021 ◽  
Vol 112 (11-12) ◽  
pp. 3501-3513
Author(s):  
Yannik Lockner ◽  
Christian Hopmann

AbstractThe necessity of an abundance of training data commonly hinders the broad use of machine learning in the plastics processing industry. Induced network-based transfer learning is used to reduce the necessary amount of injection molding process data for the training of an artificial neural network in order to conduct a data-driven machine parameter optimization for injection molding processes. As base learners, source models for the injection molding process of 59 different parts are fitted to process data. A different process for another part is chosen as the target process on which transfer learning is applied. The models learn the relationship between 6 machine setting parameters and the part weight as quality parameter. The considered machine parameters are the injection flow rate, holding pressure time, holding pressure, cooling time, melt temperature, and cavity wall temperature. For the right source domain, only 4 sample points of the new process need to be generated to train a model of the injection molding process with a degree of determination R2 of 0.9 or and higher. Significant differences in the transferability of the source models can be seen between different part geometries: The source models of injection molding processes for similar parts to the part of the target process achieve the best results. The transfer learning technique has the potential to raise the relevance of AI methods for process optimization in the plastics processing industry significantly.


2014 ◽  
Vol 1 (4) ◽  
pp. 256-265 ◽  
Author(s):  
Hong Seok Park ◽  
Trung Thanh Nguyen

Abstract Energy efficiency is an essential consideration in sustainable manufacturing. This study presents the car fender-based injection molding process optimization that aims to resolve the trade-off between energy consumption and product quality at the same time in which process parameters are optimized variables. The process is specially optimized by applying response surface methodology and using nondominated sorting genetic algorithm II (NSGA II) in order to resolve multi-object optimization problems. To reduce computational cost and time in the problem-solving procedure, the combination of CAE-integration tools is employed. Based on the Pareto diagram, an appropriate solution is derived out to obtain optimal parameters. The optimization results show that the proposed approach can help effectively engineers in identifying optimal process parameters and achieving competitive advantages of energy consumption and product quality. In addition, the engineering analysis that can be employed to conduct holistic optimization of the injection molding process in order to increase energy efficiency and product quality was also mentioned in this paper.


Author(s):  
Yasser E. Tawfik

The purpose of issuing a quality manual for the radioisotope production plants is to define and describe the quality system implemented by the plant. It provides general procedures for all activities comprising the quality system, defines the authorities and responsibilities of all personnel affected by the system and provides a way to inform our customers of the specific controls that are in place at radioisotope production plants to assure continued product quality. Such a quality manual is regularly updated to depict the quality management system implemented by radioisotope production plant as accurately as possible. Example of this type of quality manual is developed for the radioisotope production facility (RPF) located in ETRR-2 Complex site – Egyptian Atomic Energy Authority – Inshas-EGYPT.


2010 ◽  
Vol 401 (1-2) ◽  
pp. 25-31 ◽  
Author(s):  
Na Zhao ◽  
Ahmed Zidan ◽  
Mobin Tawakkul ◽  
Vilayat A. Sayeed ◽  
Mansoor Khan

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