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Analysis of microcosmic geometric property in pre-stressed dry grinding process

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Abstract

In modern manufacturing industry, surface heat treatment is usually required after grinding because strengthening surfaces is in extensive demand. However, most existing strengthening methods have limitations in manufacturing cost and efficiency, and previous studies mainly focus on improvement by heat treatment. Therefore, the pre-stressed dry grinding technology is proposed, which is a combined machining including thermal-mechanical coupling effect. Compared to traditional surface quenching methods, it is a green and integrated processing strengthening technology. Based on experiment and surface topography modeling, the influence of pre-stressed force on surface quality and grit-workpiece kinematic interaction is revealed to verify the feasibility of this method. A dynamic surface is generated by deriving the theoretical model of interference between abrasive particles and the workpiece, which is an innovative method to explore the factors affecting surface roughness. The results show that a strengthening layer can be obtained. The relationship between pre-stressed force and the surface roughness of the workpiece is also figured out. With the increase of pre-stressed force, the metallographic structure of the workpiece is stratified, which refines the crack formation and decreases the surface roughness. It is a significant attempt to advance high-performance manufacturing toward processing-strengthening integration, which has broad application prospects in high-performance manufacturing.

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References

  1. Wang W, Guo Q, Yang Z et al (2023) A state-of-the-art review on robotic milling of complex parts with high efficiency and precision. Robot Comput Integr Manuf:79102436

  2. Reti T, Bagyinszki G, Felde I et al (1999) Prediction of as-quenched hardness after rapid austenitization and cooling of surface hardened steels. Commun Math Sci 15(1):101–112

    CAS  Google Scholar 

  3. Cermak H, Tobie T, Stahl K (2022) Flame and induction hardening – an advantageous alternative to case hardening for large size gears? 77(2):112–126

  4. Matlock DK, Kang S, De Moor E et al (2020) Applications of rapid thermal processing to advanced high strength sheet steel developments. Mater Charact:166110397

  5. Kishore K, Sinha MK, Singh A et al (2022) A comprehensive review on the grinding process: advancements, applications and challenges. Proc Inst Mech Eng C J Mech Eng Sci 236(22):10923–10952

    Article  Google Scholar 

  6. Lu S, Guo S, Zhang J, Jiang Q, Zhou C, Zhang B (2022) Grindability of high performance difficult-to-machine materials. Surface Technol 51(3):12–42

    Google Scholar 

  7. Chi Y, Yu X, Liu B, Wu Z (2023) Grinding material removal rate model and application experiment based on bearing blank surface analysis. Surface Technol 52(4):338–353 373

    Google Scholar 

  8. Alagumurthi N, Palaniradja K, Soundararajan V (2007) Heat generation and heat transfer in cylindrical grinding process -a numerical study. Int J Adv Manuf Technol 34(5):474–482

    Article  Google Scholar 

  9. Ronoh K, Mwema F, Dabees S et al (2022) Advances in sustainable grinding of different types of the titanium biomaterials for medical applications: a review. Biomedical. Eng Adv:4100047

  10. Brinksmeier E, Brockhoff T (1996) Utilization of grinding heat as a new heat treatment process. CIRP Ann 45(1):283–286

    Article  Google Scholar 

  11. Lerra F, Grippo F, Landi E et al (2022) Surface integrity evaluation within dry grinding process on automotive gears. Cleaner. Eng Technol:9100522

  12. Aurich JC, Herzenstiel P, Sudermann H et al (2008) High-performance dry grinding using a grinding wheel with a defined grain pattern. CIRP Ann 57(1):357–362

    Article  Google Scholar 

  13. Wang W, Yao P, Wang J et al (2016) Crack-free ductile mode grinding of fused silica under controllable dry grinding conditions. Int J Mach Tools Manuf:109126–109136

  14. da Silva LR, Bianchi EC, Fusse RY et al (2007) Analysis of surface integrity for minimum quantity lubricant—MQL in grinding. Int J Mach Tools Manuf 47(2):412–418

    Article  Google Scholar 

  15. Zhang Z, Sui M, Li C et al (2022) Residual stress of grinding cemented carbide using MoS2 nano-lubricant. Int J Adv Manuf Technol 119(9):5671–5685

    Article  Google Scholar 

  16. García E, Méresse D, Pombo I et al (2016) Role of frozen lubricant film on tribological behaviour and wear mechanisms in grinding. Int J Adv Manuf Technol 82(5):1017–1027

    Article  Google Scholar 

  17. Li C, Hu Y, Zhang F et al (2023) Molecular dynamics simulation of laser assisted grinding of GaN crystals. Int J Mech Sci:239107856

  18. Ding K, Fu Y, Su H et al (2017) Study on surface/subsurface breakage in ultrasonic assisted grinding of C/SiC composites. Int J Adv Manuf Technol 91(9):3095–3105

    Article  Google Scholar 

  19. Tawakoli T, Azarhoushang B (2008) Influence of ultrasonic vibrations on dry grinding of soft steel. Int J Mach Tools Manuf 48(14):1585–1591

    Article  Google Scholar 

  20. Chaudhari A, Sharma A, Yusufzai MZK et al (2023) Experimental analyses into dry ultrasonic vibration-assisted grinding of difficult-to-machine tool steel with alumina wheel. J Mater Eng Perform 32(11):4860–4870

    Article  CAS  Google Scholar 

  21. Hong Y, Sun C, Xiu S et al (2023) Strengthening surface generation mechanism of carburizing-assisted grinding. Tribol Int:180108300

  22. Sun C, Xiu S, Xing C et al (2022) Influence of prestress grinding hardening residual stress on rolling contact fatigue. Mater Sci Technol 38(11):716–729

    Article  ADS  CAS  Google Scholar 

  23. Yushi W, Shichao X, Le D et al (2017) Study on strengthened layer of workpiece in prestress dry grinding. Int J Adv Manuf Technol 90(5):1225–1233

    Article  Google Scholar 

  24. Liu M, Li C, Zhang Y et al (2022) Analysis of grinding mechanics and improved grinding force model based on randomized grain geometric characteristics. Chin J Aeronaut

  25. Shaw BA, Aylott C, O’Hara P et al (2003) The role of residual stress on the fatigue strength of high performance gearing. Int J Fatigue 25(9):1279–1283

    Article  CAS  Google Scholar 

  26. Cheng W, Zhang X, Lu J et al (2021) Effect of laser oscillating welding on microstructure and mechanical properties of 40Cr steel/45 steel fillet welded joints. Optik:231166458

  27. Zhang X, Xiu S, Shi X (2017) Study on the distribution of hardening layer of 40Cr and 45 steel workpiece in grind-hardening process based on simulation and experiment. Int J Adv Manuf Technol 93(9):4265–4283

    Article  Google Scholar 

  28. Yang D, Zhang C, Cheng X et al (2021) Lamellar pearlite as an initial microstructure for austenite reversion treatment. J Mater Eng Perform 30(2):1330–1339

    Article  CAS  Google Scholar 

  29. Mehta P, Kuttolamadom M, Mears L (2017) Mechanistic force model for machining process—theory and application of Bayesian inference. Int J Adv Manuf Technol 91(9):3673–3682

    Article  Google Scholar 

  30. Cao Y, Guan J, Li B et al (2013) Modeling and simulation of grinding surface topography considering wheel vibration. Int J Adv Manuf Technol 66(5):937–945

    Article  Google Scholar 

  31. Silva Sabino T, Couto Carneiro AM, Pinto Carvalho R et al (2022) The impact of non-Gaussian height distributions on the statistics of isotropic random rough surfaces. Tribol Int:173107578

  32. Wu F, Liu M, Huang G et al (2022) Simulation of stationary non-Gaussian multivariate wind pressures based on moment-based piecewise Johnson transformation model. Probab Eng Mech:68103225

  33. Chilamakuri SK, Bhushan B (1998) Contact analysis of non-Gaussian random surfaces. Proc Inst Mech Eng A 212(1):19–32

    Article  Google Scholar 

  34. Wang T, Zou L, Wan Q et al (2021) A high-precision prediction model of surface roughness in abrasive belt flexible grinding of aero-engine blade. J Manuf Process:66364–66375

  35. Bakolas V (2003) Numerical generation of arbitrarily oriented non-Gaussian three-dimensional rough surfaces. Wear 254(5):546–554

    Article  CAS  Google Scholar 

  36. Zhou X, Xi F (2002) Modeling and predicting surface roughness of the grinding process. Int J Mach Tools Manuf 42(8):969–977

    Article  Google Scholar 

  37. Nguyen TA, Butler DL (2005) Simulation of surface grinding process, part 2: interaction of the abrasive grain with the workpiece. Int J Mach Tools Manuf 45(11):1329–1336

    Article  Google Scholar 

  38. Li HN, Yu TB, Wang ZX et al (2017) Detailed modeling of cutting forces in grinding process considering variable stages of grain-workpiece micro interactions. Int J Mech Sci:126319–126339

  39. Setti D, Kirsch B, Aurich JC (2017) An analytical method for prediction of material deformation behavior in grinding using single grit analogy. Procedia CIRP:58263–58268

  40. Deng Y, Xiu S, Shi X et al (2017) Study on the effect mechanisms of pre-stress on residual stress and surface roughness in PSHG. Int J Adv Manuf Technol 88(9):3243–3256

    Article  Google Scholar 

Download references

Funding

This project is supported by the National Natural Science Foundation of China (Grant No. 52105433), the National Natural Science Foundation of China (Grant No. 52175383), and the Henan Key Laboratory of Superhard Abrasives and Grinding Equipment, Henan University of Technology, China (JDKFJJ2022006).

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All the authors have contributed to the creation of this manuscript for important intellectual content. Chunwei Xu, Cong Sun, and Shichao Xiu provided ideas for the manuscript; He Zhang and Yuan Hong collected data and provided suggestions and materials for the revision of the manuscript. The first draft of the manuscript was written by Chunwei Xu, and all the authors commented on previous versions of the manuscript.

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Correspondence to Shichao Xiu or Cong Sun.

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Xu, C., Zhang, H., Xiu, S. et al. Analysis of microcosmic geometric property in pre-stressed dry grinding process. Int J Adv Manuf Technol 131, 2509–2523 (2024). https://doi.org/10.1007/s00170-023-11859-3

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  • DOI: https://doi.org/10.1007/s00170-023-11859-3

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