A Survey Approach of Optimization of Injection Moulding Process Parameter
Abstract & Details
Research Area
Mechanical Engineering
Keywords
Injection moulding
optimization
Process parameter
ANN tool
Shrinkage
Abstract
This review paper found the better optimization techniques which the effects degree of different moulding process parameters for shrinkage. The mold design can fasten the mold developing schedule, thus shorten the cycle of product development, and improve the quality of products and the competitive ability of enterprise. Injection molding is one of the most important and common plastic formation methods. Combination of modeling tools and optimization algorithms can be used in order to determine optimum process conditions for the injection molding of a special part. Using the trail and error approach parameters for injection moulding no longer good enough. So, this work research has been finding optimizations of processing parameters for robust parameter design. In this study has been taken Artificial neural network method for solving the problem which are give useful result.
License
This work is licensed under a Creative
Commons
Attribution-ShareAlike 4.0 International License.
Author Information
| # | Name | Institute / Affiliation |
|---|---|---|
| 1 | Navin Kumar | SSITM Bhilai |
| 2 | Mayur Thombre | SSITM Bhilai |
How to Cite
Use the following formats to cite this article in your research.
APA Style
Kumar, Navin & Thombre, Mayur (2018). A Survey Approach of Optimization of Injection Moulding Process Parameter. International Journal of Advance Research and Innovative Ideas In Education, 4(2), 343-346.
MLA Style
Kumar, Navin, and Mayur Thombre. "A Survey Approach of Optimization of Injection Moulding Process Parameter." International Journal of Advance Research and Innovative Ideas In Education, vol. 4, no. 2, 2018, pp. 343-346.
IEEE Style
Navin Kumar and Mayur Thombre, "A Survey Approach of Optimization of Injection Moulding Process Parameter," International Journal of Advance Research and Innovative Ideas In Education, vol. 4, no. 2, pp. 343-346, 2018.
Vancouver Style
Kumar Navin, Thombre Mayur. A Survey Approach of Optimization of Injection Moulding Process Parameter. International Journal of Advance Research and Innovative Ideas In Education. 2018;4(2):343-346.
Harvard Style
Kumar, Navin & Thombre, Mayur (2018) 'A Survey Approach of Optimization of Injection Moulding Process Parameter', International Journal of Advance Research and Innovative Ideas In Education, 4(2), pp. 343-346.
Chicago Style
Kumar, Navin and Mayur Thombre. "A Survey Approach of Optimization of Injection Moulding Process Parameter." International Journal of Advance Research and Innovative Ideas In Education 4, no. 2 (2018): 343-346.
Turabian Style
Kumar, Navin and Mayur Thombre. "A Survey Approach of Optimization of Injection Moulding Process Parameter." International Journal of Advance Research and Innovative Ideas In Education 4, no. 2 (2018): 343-346.
Related Research
Designing And Manufacturing Of Mecanum Wheel
PDF Unavailable
Experimental, Design and Development of different punch and die for head light reflectors
PDF Unavailable
Experimental Analysis of Aluminium Hybrid Material using Analytical and Experimental Method
PDF Unavailable
Effect of Slight Pitch Difference on the Fatigue Life of Bolt
PDF Unavailable