Statistical Optimization by Response Surface Methodology of Process Parameters During the CNC Turning Operation of Hybrid Metal Matrix Composite

• Ashish Kumar Srivastava

  G. L. Bajaj Institute of Technology and Management

• Manish Maurya

  Accurate Institute of Management and Technology

• Ambuj Saxena

  G. L. Bajaj Institute of Technology and Management

• Nagendra Kumar

  G. L. Bajaj Institute of Technology and Management

• Shashi Prakash Dwivedi

  G. L. Bajaj Institute of Technology and Management

抄録

The demand for new class of specific materials is rising day by day. In this context machining plays an vital role to finish the final product according to required geometry. Lightweight material such as aluminum based metal matrix composites is one of the most suitable material for most of the engineering and structural works. In this research work, an effort is made to optimize the process parameters of 16-TC Botliboi CNC machine to get desired output responses of MRR, surface roughness (SR) and tool flank wear during the processing of previously developed aluminum hybrid composite A359/B4C/Al2O3. Response surface methodology (RSM) has been applied to get the mathematical model of input parameters to get the desired response. The results reveal the optimized value of feed rate, rotational speed and depth of cut to experimentally find the outputs. Further confirmation experiments are performed at optimum level of process parameter.

収録刊行物

• Evergreen

  Evergreen 8 (1), 51-62, 2021-03

  九州大学グリーンテクノロジー研究教育センター

キーワード

• Hybrid MMC
• Conventional machining
• Botliboi CNC
• Material removal rate
• Tool wear rate
• Surface Roughness

詳細情報

• CRID: 1390572174751139712
• NII論文ID: 120007001002
• DOI: 10.5109/4372260
• ISSN: 24325953
• ISSN: 21890420
• HANDLE: 2324/4372260
• 本文言語コード: en
• データソース種別:
  • JaLC
  • IRDB
  • Crossref
  • CiNii Articles
• 抄録ライセンスフラグ: 使用可