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Publications

  • Increasing the productivity of the wire-cut electrical discharge machine associated with sustainable production DOI: http://dx.doi.org/10.1016/j.jclepro.2015.06.047
  • Increasing the productivity of the wire-cut electrical discharge machine associated with sustainable production DOI: 10.1016/j.jclepro.2015.06.047
  • Investigating the Machinability of Al–Si–Cu cast alloy containing bismuth and antimony using coated carbide insert DOI: 10.1016/j.measurement.2014.10.030
  • White layer thickness prediction in WEDM-ANFIS modelling OTHER_ID: 0821150518842-4402
  • Review of improvements in wire electrode properties for longer working time and utilization in wire EDM machining DOI: http://dx.doi.org/10.1007/s00170-014-6243-3
  • Improve wire EDM performance at different machining parameters - ANFIS modeling DOI: 10.1016/j.ifacol.2015.05.109
  • Cutting force-based adaptive neuro-fuzzy approach for accurate surface roughness prediction in end milling operation for intelligent machining DOI: http://dx.doi.org/10.1007/s00170-014-6379-1
  • Cutting force-based adaptive neuro-fuzzy approach for accurate surface roughness prediction in end milling operation for intelligent machining DOI: 10.1007/s00170-014-6379-1
  • Review of improvements in wire electrode properties for longer working time and utilization in wire EDM machining DOI: 10.1007/s00170-014-6243-3
  • Investigation of the effect of machining parameters on the surface quality of machined brass (60/40) in CNC end milling—ANFIS modeling DOI: 10.1007/s00170-014-6016-z
  • Machinabilityof Al-Si-Cu cast alloy containing bismuth and antimony when dry turning using coated carbide insert DOI: http://dx.doi.org/10.1016/j.measurement.2014.10.030
  • Investigation of the effect of machining parameters on the surface quality of machined brass (60/40) in CNC end milling—ANFIS modeling DOI: http://dx.doi.org/10.1007/s00170-014-6016-z
  • surface roughness prediction in end milling using multiple regression and adaptive neuro-fuzzy inference system DOI: http://dx.doi.org/10.13140/RG.2.1.2764.3041

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