CENTRAL CONVEYING & AUTO FEEDING SYSTEMS FOR AN INJECTION MOLDING SHOP

Abstract

Nowadays injection molding is probably the most important method of Processing of consumer and industrial goods, and is performed everywhere in the world. The developing of injection molding becomes a competition from day to day. This Process now integrated with computer control make the production better in quality and Better quantity. The trends of producing a plastics product in injection molding industries are recently changing from traditional method to using the FEA analysis. For injection molding industries, time and cost is very important aspects to consider because these two aspects will directly related to the profits at a company. The next issue to consider, to get the best parameter for the injection molding process, plastics has been waste. Through the experiment, operator will use large amount of plastics material to get the possibly parameters to setup the machine. To produce the parts with better quality and quantity these molding defects are the major obstacles in achieving the targets with quality & quantity. Various defects like Short shot, colour streaks and low productivity rates are associated with the material mixing and feeding as molded plastics are often a blend of two or more materials. Colors (master batch) and other additives are often mixed (blended) with the raw plastic material prior to the molding process in molding plants. So it is very necessary to work out auto blending and auto feeding of plastic granules to the machine hopper. This paper will cover the study of automatic blending unit & central conveying system for plastic granule feeding to machine & will help in optimizing the injection molding process.

Authors and Affiliations

Sanjeev Kumar , Ashu Yadav , Prof. Mohd. Parvez

Keywords

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  • EP ID EP135377
  • DOI -
  • Views 118
  • Downloads 0

How To Cite

Sanjeev Kumar, Ashu Yadav, Prof. Mohd. Parvez (2011). CENTRAL CONVEYING & AUTO FEEDING SYSTEMS FOR AN INJECTION MOLDING SHOP. International Journal of Computer Science and Management Studies (IJCSMS) www.ijcsms.com, 11(2), 76-82. https://europub.co.uk/articles/-A-135377