DR. BISWAJIT DAS

Employment

• Tripura Institute of Technology Narsingarh Lecturer
  2016 - Present

Education

Education history is unavailable.

Projects & Funding

Projects & funding information is unavailable.

Publications (12)

• An appliance of adaptive Neuro-Fuzzy inference system for predicting the surface roughness of Al-4.5%Cu-TiC MMC in turning operation of CNC milling
  Materials Today: Proceedings 2022 DOI: 10.1016/j.matpr.2022.04.449
  +Save
• Multiobjective optimization of in situ process parameters in preparation of Al-4.5%Cu–TiC MMC using a grey relation based teaching–learning-based optimization algorithm
  Proceedings of the Institution of Mechanical Engineers, Part E: Journal of Process Mechanical Engineering 2017 DOI: 10.1177/0954408917710555
  +Save
• Application of fuzzy technique for order preference by similarity to ideal solution in computer numerical control end milling of in-situ Al-4.5%Cu-TiC metal matrix composite
  Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture 2016 DOI: 10.1177/0954405416666896
  +Save
• Effect of in-situ processing parameters on microstructure and mechanical properties of TiC particulate reinforced Al–4.5Cu alloy MMC fabricated by stir-casting technique – Optimization using grey based differential evolution algorithm
  Measurement 2016 DOI: 10.1016/j.measurement.2016.07.044
  +Save
• Application of grey fuzzy logic for the optimization of CNC milling parameters for Al–4.5%Cu–TiC MMCs with multi-performance characteristics
  Engineering Science and Technology, an International Journal 2016 DOI: 10.1016/j.jestch.2015.12.002
  +Save
• Development of an in-situ synthesized multi-component reinforced Al–4.5%Cu–TiC metal matrix composite by FAS technique – Optimization of process parameters
  Engineering Science and Technology, an International Journal 2016 DOI: 10.1016/j.jestch.2015.08.002
  +Save
• Numerical Solution of First-Order Linear Differential Equations in Fuzzy Environment by Runge-Kutta-Fehlberg Method and Its Application
  International Journal of Differential Equations 2016 DOI: 10.1155/2016/8150497
  +Save
• Study on machinability of in situ Al–4.5%Cu–TiC metal matrix composite-surface finish, cutting force prediction using ANN
  CIRP Journal of Manufacturing Science and Technology 2016 DOI: 10.1016/j.cirpj.2015.10.002
  +Save
• Studies on Effect of Cutting Parameters on Surface Roughness of Al-Cu-TiC MMCs: An Artificial Neural Network Approach
  Procedia Computer Science 2015 DOI: 10.1016/j.procs.2015.03.145
  +Save
• Surface Roughness of Al - 5Cu Alloy using a Taguchi - Fuzzy Based Approach
  Journal of Engineering Science and Technology Review 2014 DOI: 10.25103/jestr.072.32
  +Save