Impact of Toolpath Pitch Distance on Cutting Tool Nose Radius Deviation and Surface Quality of AISI D3 Steel Using Precision Measurement Techniques

被引:0
|
作者
Jayakumar, Santhakumar [1 ]
Kannan, Sathish [2 ]
Iqbal, U. Mohammed [1 ]
机构
[1] SRM Inst Sci & Technol, Fac Engn & Technol, Dept Mech Engn, Kattankulathur Campus, Chennai 603203, Tamil Nadu, India
[2] Amity Univ, Dept Mech Engn, Dubai, U Arab Emirates
关键词
trochoidal toolpath; nose radius deviation; surface roughness; response surface methodology; desirability function analysis; ROUGHNESS PREDICTION MODEL; MULTIRESPONSE OPTIMIZATION; MACHINING PARAMETERS; END; FORCE; METHODOLOGY; GEOMETRY; SELECTION; FINISH; WEAR;
D O I
10.3390/ma17184519
中图分类号
O64 [物理化学(理论化学)、化学物理学];
学科分类号
070304 ; 081704 ;
摘要
The selection of the right tool path trajectory and the corresponding machining parameters for end milling is a challenge in mold and die industries. Subsequently, the selection of appropriate tool path parameters can reduce overall machining time, improve the surface finish of the workpiece, extend tool life, reduce overall cost, and improve productivity. This work aims to establish the performance of end milling process parameters and the impact of trochoidal toolpath parameters on the surface finish of AISI D3 steel. It especially focuses on the effect of the tool tip nose radius deviation on the surface quality using precision measurement techniques. The experimental design was carried out in a systematic manner using a face-centered central composite design (FCCD) within the framework of response surface methodology (RSM). Twenty different experiment trials were conducted by changing the independent variables, such as cutting speed, feed rate, and trochoidal pitch distance. The main effects and the interactions of these parameters were determined using analysis of variance (ANOVA). The optimal conditions were identified using a multiple objective optimization method based on desirability function analysis (DFA). The developed empirical models showed statistical significance with the best process parameters, which include a feed rate of 0.05 m/tooth, a trochoidal pitch distance of 1.8 mm, and a cutting speed of 78 m/min. Further, as the trochoidal pitch distance increased, variations in the tool tip cutting edge were observed on the machined surface due to peeling off of the coating layer. The flaws on the tool tip, which alter the edge micro-geometry after machining, resulted in up to 33.83% variation in the initial nose radius. Deviations of 4.25% and 5.31% were noted between actual and predicted values of surface roughness and the nose radius, respectively.
引用
收藏
页数:19
相关论文
共 7 条
  • [1] Analysis and modeling of surface roughness based on cutting parameters and tool nose radius in turning of AISI D2 steel using CBN tool
    Patel, Vallabh D.
    Gandhi, Anish H.
    MEASUREMENT, 2019, 138 : 34 - 38
  • [2] Experimental investigation of cryogenic cooling on cutting force, surface roughness and tool wear in end milling of hardened AISI D3 steel using uncoated tool
    Ravi, S.
    Gurusamy, P.
    MATERIALS TODAY-PROCEEDINGS, 2020, 33 : 3314 - 3318
  • [3] Improvement in the Surface Integrity of AISI D3 Tool Steel using Rotary Tool Electric Discharge Machining Process
    Dwivedi, Anand Prakash
    Choudhury, Sounak Kumar
    3RD INTERNATIONAL CONFERENCE ON INNOVATIONS IN AUTOMATION AND MECHATRONICS ENGINEERING 2016, ICIAME 2016, 2016, 23 : 280 - 287
  • [4] Prediction Of Surface Quality Using Chip Morphology With Nodal Temperature Signatures In Hard Turning Of AISI D3 Steel
    Rath, Debabrata
    Panda, Sumanta
    Pal, Kamal
    MATERIALS TODAY-PROCEEDINGS, 2018, 5 (05) : 12368 - 12375
  • [5] Machinability investigation in hard turning of AISI D3 cold work steel with ceramic tool using response surface methodology
    H. Aouici
    H. Bouchelaghem
    M. A. Yallese
    M. Elbah
    B. Fnides
    The International Journal of Advanced Manufacturing Technology, 2014, 73 : 1775 - 1788
  • [6] Machinability investigation in hard turning of AISI D3 cold work steel with ceramic tool using response surface methodology
    Aouici, H.
    Bouchelaghem, H.
    Yallese, M. A.
    Elbah, M.
    Fnides, B.
    INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY, 2014, 73 (9-12): : 1775 - 1788
  • [7] Simultaneous improvement of surface quality and productivity using grey relational analysis based Taguchi design for turning couple (AISI D3 steel/ mixed ceramic tool (Al2O3
    Zerti, Oussama
    Yallese, Mohamed Athmane
    Zerti, Abderrahmen
    Belhadi, Salim
    Girardin, Francois
    INTERNATIONAL JOURNAL OF INDUSTRIAL ENGINEERING COMPUTATIONS, 2018, 9 (02) : 173 - 194