Search Results - (( developing effective cut algorithm ) OR ( java implication based algorithm ))

Refine Results
  1. 1

    Optimisation of laser cutting parameters of oil palm wood / Harizam Mohd Zin by Harizam, Mohd Zin

    Published 2013
    “…Another aim of this project is to evaluate the effect of processing parameters of CO2 laser cutting such as laser power, inert gas pressure, cutting speed and focal point position on the cutting quality of the oil palm wood. …”
    Get full text
    Get full text
    Thesis
  2. 2

    Development of Machine Learning Algorithm for Acquiring Machining Data in Turning Process by Ali Al-Assadi, Hayder M. A.

    Published 2004
    “…Manufacturing cost for machining components is affected by the available machining parameters which include the selection of appropriate cutting material, cutting tools, and machining data of cutting speed, feed, and depth of cut. …”
    Get full text
    Get full text
    Thesis
  3. 3

    Improvement of surface roughness in end milling of Ti6Al4V by coupling RSM with genetic algorithm by Patwari, Muhammed Anayet Ullah, Amin, A. K. M. Nurul, Alam, Md. Shah

    Published 2011
    “…This paper describes mathematically the effect of cutting parameters on Surface roughness in end milling of Ti6Al4V. …”
    Get full text
    Get full text
    Get full text
    Article
  4. 4

    Optimization of turning parameters using ant colony optimization by Mohamad Nazri, Semoin

    Published 2008
    “…The results indicate that the proposed ant colony framework is effective to optimized turning parameter. Lastly, ACO algorithm was successfully optimize depth of cut, cutting speed, feed rate and minimized production cost per unit.…”
    Get full text
    Get full text
    Undergraduates Project Papers
  5. 5
  6. 6

    Development of genetic algorithm-based fuzzy rules design for metal cutting data selection by Wong, S.V, Hamouda, A.M.S

    Published 2002
    “…An object-oriented library to handle fuzzy rules optimization with genetic optimization has been developed. The effect of constraint rules is also presented and discussed. …”
    Get full text
    Get full text
    Get full text
    Article
  7. 7
  8. 8
  9. 9

    INVESTIGATION ON THE CUTTING PARTICLES TRANSPORT IN HORIZONTAL WELL DRILLING by ELTAHIR ELTILIB, RAWIA ABD ELGADIR

    Published 2010
    “…Two mathematical models were developed to investigate the cuttings transportation performance in horizontal wells. …”
    Get full text
    Get full text
    Thesis
  10. 10

    Optimization of micro-end milling process parameters of titanium alloy using non-dominated sorting genetic algorithm by Golshan, Abolfazl

    Published 2013
    “…This study examines the effects of three process parameters which are spindle speed, feed rate and depth of cut on the process outputs. …”
    Get full text
    Get full text
    Thesis
  11. 11
  12. 12

    The Effect on the Application of Coolant and Ultrasonic Vibration Assisted Micro Milling on Machining Performance by Rasidi, Ibrahim, Abdul Halim, Erween, S. A., Che Ghani, A. A., Ibrahim, N. A., Maskam

    Published 2014
    “…The input signal is sine wave with controllable frequency and amplitude to allow mechanism control algorithms to be develop during the process. In addition, the effect of cutting fluid was be analyzed to understand the potential capabilities of this aid on UVAM process.…”
    Get full text
    Get full text
    Get full text
    Article
  13. 13

    Development of tool life prediction model of TiAlN coated tools during the high speed hard milling of AISI H13 steel by Amin, A. K. M. Nurul, Hafiz, A.M. Khalid, Lajis, M. A.

    Published 2011
    “…Öktem et al. [6] incorporated RSM with developed genetic algorithm to optimize cutting parameters for better surface quality in case of Inconel 718. …”
    Get full text
    Get full text
    Get full text
    Book Chapter
  14. 14

    Multi-objectives process optimization in end milling process of aluminium alloy 6061-T6 using genetic algorithm by W., Safiei, Rahman, M. M., M.Y., Ali

    Published 2024
    “…The responses studied are surface roughness, cutting temperature, cutting force and flank wear. …”
    Get full text
    Get full text
    Get full text
    Get full text
    Conference or Workshop Item
  15. 15

    HOLE ANALYSIS OF CARBON FIBER REINFORCED POLYMER (CFRP) LAMINATES STACK DRILLING IN AN AIRCRAFT APPLICATION by MOHD YAZIT, LUKMAN NULHAKIM

    Published 2018
    “…Therefore, that is a need to develop cutting procedure to look at the effect of processing parameter on the product defect. …”
    Get full text
    Get full text
    Final Year Project
  16. 16

    Experimental Investigation and Optimization of Minimum Quantity Lubrication for Machining of AA6061-T6 by Najihah, Mohamed, M. M., Rahman, K., Kadirgama

    Published 2015
    “…Process parameters including the cutting speed, depth of cut, feed rate and MQL flow rate are selected for study to develop an optimization model for flank wear based on the genetic algorithm. …”
    Get full text
    Get full text
    Get full text
    Article
  17. 17
  18. 18

    Artificial neural network modeling of grinding of ductile cast iron using water based sio2 nanocoolant by M. M., Rahman, K., Kadirgama, Azma Salwani, Ab Aziz

    Published 2014
    “…The study is aimed to investigate the effect of table speed and depth of cut on the surface roughness and material removal rate (MRR). …”
    Get full text
    Get full text
    Get full text
    Article
  19. 19

    Modeling of the end milling process for aluminum alloy AA6061T6 using hss tool by Najiha, M. S., M. M., Rahman, A. R., Yusoff

    Published 2013
    “…A central composite design of response surface methodology is used to develop an effective analytical model for surface roughness. …”
    Get full text
    Get full text
    Get full text
    Article
  20. 20

    Modeling of the End Milling Process for Aluminium Alloy AA6061T6 Using HSS Tool by Najiha, M. S., M. M., Rahman, A. R., Yusoff

    Published 2013
    “…Central composite design of response surface methodology is used to develop an effective analytical model for surface roughness. …”
    Get full text
    Get full text
    Get full text
    Article