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Cryogenic treatment analysis of electrodes in wire electric discharge machining of squeeze casted Al2024/Al2O3/W composite

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Abstract

Peculiar characteristics of squeeze casted hybrid aluminum matrix composites (AMCs) enable it as an appropriate candidate for various manufacturing applications but also make their machining challenging. For that reason, wire electric discharge machining (WEDM) has been preferred over conventional machining processes for the cutting squeeze casted Al2024/Al2O3/W hybrid composite in this study. The presence of nanoparticles in the material affects the machining performance of wire electrodes. Therefore, molybdenum and zinc-coated wires have been chosen, and cryogenic treatment has been applied to improve their machining performance. To analyze the effects of cryogenic treatment, the machining efficiency of cryogenic treated (CT) wire has been compared with non-treated (NT) wire. Besides wire type, four key input variables including pulse duration (TON), wire feed rate (FR), wire runoff speed (SW), and wire tension (TW) have also been optimized to improve the imperative response measures including cutting speed (CS), surface roughness (SR), and kerf width (KW). Microstructural analysis of NT wire depicts a high concentration of micro-voids, micro-cracks, and deep craters, while the surface of CT wire has been observed relatively fine after the machining. Comparative analysis of both wire electrodes has declared that CT wire yields 26.96% and 15.10% superior results for CS and SR respectively, and 6.92% deprived results for KW than NT wire. Grey relational analysis (GRA) has been practiced for multi-objective optimization and presented TON = 3 μs, FR = 13 m/min, SW = 11 m/min, and TW = 10 g as an optimal set of input variables to achieve 75.1% and 72.5% overall results with NT and CT wire, respectively.

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Abbreviations

WEDM:

Wire electric discharge machining

AMC:

Aluminum matrix composite

TON :

Pulse duration

FR :

Wire feed rate

SW :

Wire runoff speed

TW :

Wire tension

TOFF :

Pulse off time

CS :

Cutting speed

SR :

Surface roughness

KW :

Kerf width

I:

Discharge current

V:

Gap voltage

SEM:

Scanning electron microscope

CT wire:

Cryogenic treated zinc-coated brass wire

NT wire:

Non-cryogenic treated zinc-coated brass wire

UTS:

Ultimate tensile strength

RSM:

Response surface methodology

ANOVA:

Analysis of variance

GRA:

Grey relational analysis

GRG:

Grey relational grade

References

  1. Pramanik A (2016) Effects of reinforcement on wear resistance of aluminum matrix composites. Trans Nonferrous Metals Soc China 26(2):348–358

    Article  MathSciNet  Google Scholar 

  2. Dinaharan I et al (2016) Microstructure and wear characterization of aluminum matrix composites reinforced with industrial waste fly ash particulates synthesized by friction stir processing. Mater Charact 118:149–158

    Article  Google Scholar 

  3. Lu T et al (2020) Microstructure, mechanical properties and machinability of particulate reinforced Al matrix composites: a comparative study between SiC particles and high-entropy alloy particles. Journal of Materials Research and Technology 9(6):13646–13660

    Article  Google Scholar 

  4. Zhang C et al (2017) Enhanced tensile properties of Al matrix composites reinforced with β-Si3N4 whiskers. Compos A: Appl Sci Manuf 102:145–153

    Article  Google Scholar 

  5. Gebler, M., A.J.S. Uiterkamp, and C.J.E.P. Visser (2014) A global sustainability perspective on 3D printing technologies. 74: p. 158-167.

  6. Idrisi AH, Mourad A-HI (2019) Conventional stir casting versus ultrasonic assisted stir casting process: mechanical and physical characteristics of AMCs. J Alloys Compd 805:502–508

    Article  Google Scholar 

  7. Nemtajela N, Mbohwa C (2017) Relationship between inventory management and uncertain demand for fast moving consumer goods organisations. Procedia Manufacturing 8:699–706

    Article  Google Scholar 

  8. Sarfraz MH et al (2019) Multi-response parametric optimization of squeeze casting process for fabricating Al 6061-SiC composite. Int J Adv Manuf Technol 102(1):759–773

    Article  Google Scholar 

  9. Liao Z et al (2019) State-of-the-art of surface integrity in machining of metal matrix composites. Int J Mach Tools Manuf 143:63–91

    Article  Google Scholar 

  10. Senthil P, Selvaraj T, Sivaprasad K (2013) Influence of turning parameters on the machinability of homogenized Al–Cu/TiB 2 in situ metal matrix composites. Int J Adv Manuf Technol 67(5-8):1589–1596

    Article  Google Scholar 

  11. Bejjani R et al (2016) Chip formation and microstructure evolution in the adiabatic shear band when machining titanium metal matrix composites. Int J Mach Tools Manuf 109:137–146

    Article  Google Scholar 

  12. Pugazhenthi A et al (2018) Turning characteristics of in situ formed TiB2 ceramic particulate reinforced AA7075 aluminum matrix composites using polycrystalline diamond cutting tool. Measurement 121:39–46

    Article  Google Scholar 

  13. Dandekar CR, Shin YC (2012) Modeling of machining of composite materials: a review. Int J Mach Tools Manuf 57:102–121

    Article  Google Scholar 

  14. Nicholls CJ et al (2017) Review of machining metal matrix composites. Int J Adv Manuf Technol 90(9-12):2429–2441

    Article  Google Scholar 

  15. Raju R et al (2018) Optimization of process parameters in electrical discharge machining of haste alloy C276 using Taguchi’s method. Materials Today: Proceedings 5(6, Part 2):14432–14439

    Google Scholar 

  16. Reolon LW et al (2019) WEDM performance and surface integrity of Inconel alloy IN718 with coated and uncoated wires. Int J Adv Manuf Technol 100(5-8):1981–1991

    Article  Google Scholar 

  17. Tahir W, Jahanzaib M (2019) Multi-objective optimization of WEDM using cold treated brass wire for HSLA hardened steel. J Braz Soc Mech Sci Eng 41(11):525

    Article  Google Scholar 

  18. Gong Y et al (2017) Experimental study on surface integrity of Ti-6Al-4V machined by LS-WEDM. Int J Adv Manuf Technol 88(1):197–207

    Article  Google Scholar 

  19. Paswan K, Pramanik A, Chattopadhyaya S (2020) Machining performance of Inconel 718 using graphene nanofluid in EDM. Mater Manuf Process 35(1):33–42

    Article  Google Scholar 

  20. Muniappan A et al (2019) Optimization of WEDM process parameters for cutting speed using Taguchi technique. Materials Today: Proceedings 18:332–341

    Google Scholar 

  21. Satishkumar D, Kanthababu M (2014) Optimization of Wedm parameters for surface roughness on hybrid Mmcs. Adv Compos Lett 23(3):096369351402300303

    Google Scholar 

  22. Ugrasen G et al (2018) Estimation of machining performances using MRA and GMDH in wire EDM of Al2024 based hybrid MMC. Materials Today: Proceedings 5(1, Part 3):3084–3092

    Google Scholar 

  23. Nag A et al (2018) Surface integrity analysis of wire-EDM on in-situ hybrid composite A359/Al2O3/B4C. Materials Today: Proceedings 5(11, Part 3):24632–24641

    Google Scholar 

  24. Kumar SS et al (2015) Parametric optimization of wire electrical discharge machining on aluminium based composites through grey relational analysis. J Manuf Process 20:33–39

    Article  Google Scholar 

  25. Udaya Prakash J et al (2018) Optimization of wire EDM process parameters for machining hybrid composites (356/B4C/Fly Ash) using Taguchi technique. Materials Today: Proceedings 5(2, Part 2):7275–7283

    Google Scholar 

  26. Lal S et al (2014) Wire electrical discharge machining of AA7075/SiC/Al2O3 hybrid composite fabricated by inert gas-assisted electromagnetic stir-casting process. J Braz Soc Mech Sci Eng 36(2):335–346

    Article  Google Scholar 

  27. Ishfaq, K., et al. (2020) Optimization of WEDM for precise machining of novel developed Al6061-7.5% SiC squeeze-casted composite. The International Journal of Advanced Manufacturing Technology.

  28. Tahir W, Jahanzaib M, Raza A (2019) Effect of process parameters on cutting speed of wire EDM process in machining HSLA steel with cryogenic treated brass wire. Advances in Production Engineering & Management 14(2):143–152

    Article  Google Scholar 

  29. Goyal A (2017) Investigation of material removal rate and surface roughness during wire electrical discharge machining (WEDM) of Inconel 625 super alloy by cryogenic treated tool electrode. Journal of King Saud University-Science 29(4):528–535

    Article  Google Scholar 

  30. Özbek NA et al (2014) Investigation of the effects of cryogenic treatment applied at different holding times to cemented carbide inserts on tool wear. Int J Mach Tools Manuf 86:34–43

    Article  Google Scholar 

  31. Yao Y, Zhou Y (2018) Effects of deep cryogenic treatment on wear resistance and structure of GB 35CrMoV steel. Metals 8(7):502

    Article  Google Scholar 

  32. Senthilkumar D, Rajendran I (2012) Optimization of deep cryogenic treatment to reduce wear loss of 4140 steel. Mater Manuf Process 27(5):567–572

    Article  Google Scholar 

  33. Seah K, Rahman M, Yong K (2003) Performance evaluation of cryogenically treated tungsten carbide cutting tool inserts. Proc Inst Mech Eng B J Eng Manuf 217(1):29–43

    Article  Google Scholar 

  34. Kapoor J, Khamba JS, Singh S (2012) Effect of shallow cryogenic treated brass wire electrode on workpiece surface roughness in wire-EDM. International Journal of Materials Engineering Innovation 3(3-4):190–203

    Article  Google Scholar 

  35. Kapoor J, Singh S, Khamba JS (2012) Effect of cryogenic treated brass wire electrode on material removal rate in wire electrical discharge machining. Proc Inst Mech Eng C J Mech Eng Sci 226(11):2750–2758

    Article  Google Scholar 

  36. Nayak BB, Mahapatra SS (2016) Optimization of WEDM process parameters using deep cryo-treated Inconel 718 as work material. Engineering Science and Technology, an International Journal 19(1):161–170

    Article  Google Scholar 

  37. Raza MH et al (2018) Investigating the effects of different electrodes on Al6061-SiC-7.5 wt% during electric discharge machining. Int J Adv Manuf Technol 99(9):3017–3034

    Article  Google Scholar 

  38. Kapoor J, Singh S, J.S.J.P.o.t.I.o.M.E. Khamba (2012) Effect of cryogenic treated brass wire electrode on material removal rate in wire electrical discharge machining. Part C: Journal of Mechanical Engineering Science 226(11):2750–2758

    Google Scholar 

  39. Beutel A-L, Minner S (2012) Safety stock planning under causal demand forecasting. Int J Prod Econ 140(2):637–645

    Article  Google Scholar 

  40. Murr, L. and S.J.C.M.P. Gaytan (2014) Advances in additive manufacturing and tooling, Elsevier. p. 135-161.

  41. Spoerk, M., C. Holzer, and J. Gonzalez-Gutierrez (2020) Material extrusion-based additive manufacturing of polypropylene: a review on how to improve dimensional inaccuracy and warpage. 137(12): p. 48545.

  42. de Kok T et al (2018) A typology and literature review on stochastic multi-echelon inventory models. Eur J Oper Res 269(3):955–983

    Article  MathSciNet  Google Scholar 

  43. Patel GC, Shettigar MAK, Parappagoudar MB (2018) A systematic approach to model and optimize wear behaviour of castings produced by squeeze casting process. J Manuf Process 32:199–212

    Article  Google Scholar 

  44. Luo, R.C., C.H. Hsu, and Y.C. Wen (2020) Multi-model fusion on real-time drowsiness detection for telemetric robotics tracking applications. in 2020 International Conference on Advanced Robotics and Intelligent Systems (ARIS).

  45. Montgomery, D.C. (2017) Design and analysis of experiments: John wiley & sons.

  46. Ali MA et al (2018) Evaluating the effects of as-casted and aged overcasting of Al-Al joints. Int J Adv Manuf Technol 96(1):1377–1392

    Article  Google Scholar 

  47. Kavimani V, Prakash KS, Thankachan T (2019) Multi-objective optimization in WEDM process of graphene–SiC-magnesium composite through hybrid techniques. Measurement 145:335–349

    Article  Google Scholar 

  48. Gopal PM, Prakash KS, Jayaraj S (2018) WEDM of Mg/CRT/BN composites: effect of materials and machining parameters. Mater Manuf Process 33(1):77–84

    Article  Google Scholar 

  49. Rajmohan K, Kumar AS (2017) Experimental investigation and prediction of optimum process parameters of micro-wire-cut EDM of 2205 DSS. Int J Adv Manuf Technol 93(1-4):187–201

    Article  Google Scholar 

  50. Habib S, Okada A (2016) Experimental investigation on wire vibration during fine wire electrical discharge machining process. Int J Adv Manuf Technol 84(9):2265–2276

    Article  Google Scholar 

  51. Chen Z et al (2017) Theoretical and experimental study of magnetic-assisted finish cutting ferromagnetic material in WEDM. Int J Mach Tools Manuf 123:36–47

    Article  Google Scholar 

  52. Manjaiah M et al (2015) Effect of electrode material in wire electro discharge machining characteristics of Ti50Ni50−xCux shape memory alloy. Precis Eng 41:68–77

    Article  Google Scholar 

  53. Habib S (2017) Optimization of machining parameters and wire vibration in wire electrical discharge machining process. Mechanics of Advanced Materials and Modern Processes 3(1):3

    Article  Google Scholar 

  54. Habib S, Okada A (2016) Study on the movement of wire electrode during fine wire electrical discharge machining process. J Mater Process Technol 227:147–152

    Article  Google Scholar 

  55. Raza, M.H., et al. (2019) Grain selection and crystal orientation in single-crystal casting: state of the art. 54(2): p. 1800177.

  56. Tahir, W., et al. (2019) Surface morphology evaluation of hardened HSLA steel using cryogenic-treated brass wire in WEDM process. 104(9-12): p. 4445-4455.

  57. Krishnaiah, K. and P. Shahabudeen(2012) Applied design of experiments and Taguchi methods: PHI Learning Pvt. Ltd.

  58. Raza MH et al (2019) Modeling of the mechanical properties of directionally solidified Al-4.3% Cu alloy using response surface methodology. Int J Adv Manuf Technol:1–13

  59. Ali MA et al (2020) Mechanical characterization of aged AA2026-AA2026 overcast joints fabricated by squeeze casting. Int J Adv Manuf Technol:1–21

  60. Leung WK, Raza MH, Zhong RY (2021) Optimization of support structure in multi-articulated joints of non-assembly mechanisms. Procedia CIRP 100:726–731

    Article  Google Scholar 

  61. Yuan J et al (2008) Reliable multi-objective optimization of high-speed WEDM process based on Gaussian process regression. Int J Mach Tools Manuf 48(1):47–60

    Article  Google Scholar 

  62. Ishfaq K et al (2019) Evaluating material’s interaction in wire electrical discharge machining of stainless steel (304) for simultaneous optimization of conflicting responses. Materials 12(12):1940

    Article  Google Scholar 

  63. Wojciechowski S et al (2018) Application of signal to noise ratio and grey relational analysis to minimize forces and vibrations during precise ball end milling. Precis Eng 51:582–596

    Article  Google Scholar 

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Funding

This research work was supported in part by the Seed Fund for Basic Research in HKU (Grant No. 201906159001) and in part by ITF project (PRP/068/20LI).

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Conceptualization, Methodology, Writing original draft: Muhammad Huzaifa Raza. Conceptualization, Data curation, Investigation and visualization: Muhammad Asad Ali. Resources, Investigation and Experimentation: Waseem Tahir. Supervision, Review and editing: Ray Y. Zhong. Review and editing: Nadeem Ahmad Mufti, Naveed Ahmad.

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Correspondence to Muhammad Huzaifa Raza.

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Raza, M.H., Ali, M.A., Tahir, W. et al. Cryogenic treatment analysis of electrodes in wire electric discharge machining of squeeze casted Al2024/Al2O3/W composite. Int J Adv Manuf Technol 116, 1179–1198 (2021). https://doi.org/10.1007/s00170-021-07521-5

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