Abstract
This paper deals with the measurement of residual stress produced during turning operation. CNC turning is a machining process to remove unwanted material from the workpiece to produce desired rotational parts. Turning is a widely used cutting process in the manufacturing industry, and thus, continuous research is going on to optimize it because of cutting high-performance dynamics, workpiece materials, and cutting tools. Turning operation was performed on H13 tool steel workpiece dimensions 110 × Ø22 mm on CNC Lathe machine tools. H13 tool steel is used for manufacturing of friction stir welding and processing tool. The main aim of the current study is to determine the residual stress using PulsetecµX-360n portable stress analyzer setup, and Abaqus 6.14 software was used to simulate the turning process. Experimental tests were performed on H13 tool steel materials which are in form of FSW/FSP tool, which consists of different pin profiles. The experimental outcomes are then compared with the outcomes obtained from the simulation. Experimental results validate the simulation results for both the tool pin profiles which are lying within the acceptable range.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Mishra, R.S., Mahoney, M.W., McFadden, S.X., Mara, N.A., Mukherjee, A.K.: High strain rate super plasticity in a friction stir processed 7075 Al alloy. Scr. Mater. 42, 163–168 (2000)
Huang, X., Sun, J., Li, J.: Effect of Initial residual stress and machining-induced residual stress on the deformation of aluminium alloy plate. J. Mech. Eng. 61(2), 131–139 (2015)
Wang, Y., Shi, J., Ji, C.: A numerical study of residual stress induced in machined silicon surfaces by molecular dynamics simulation. Appl. Phys. A 115, 1263–1279 (2014)
Fergani, O., Jiang, X., Shao, Y., Welo, T., Yang, J., Liang, S.: Prediction of residual stress regeneration in multi-pass milling. Int. J. Adv. Manuf. Technol. 83, 1153–1160 (2016)
Sharma, V., Butola, R.: Optimization of machining parameters in CNC turning of hybrid metal matrix composites using different techniques: a review. IJARI 5, 78–82 (2017)
Huang, X., Sun, J., Li, J.: Finite element simulation and experimental investigation on the residual stress-related monolithic component deformation. Int. J. Adv. Manuf. Technol. 77, 1035 (2015)
Johnson, G.R., Cook, W.H.: A constitutive model and data for metals subjected to large strains, high strain-rate, and temperatures. In: Proceedings of the 7th International Symposium on Ballistics, The Hague, The Netherlands, pp. 1–7 (1983)
Preś, P., Skoczyński, W., Jaśkiewicz, K.: Research and modeling workpiece edge formation process during orthogonal cutting. Arch. Civ. Mech. Eng. 14(5), 622–635 (2014)
Wang, B., Liu, Z.: Investigations on the chip formation mechanism and shear localization sensitivity of high-speed machining Ti6Al4V. Int. J. Adv. Manuf. Technol. 75(5), 1065–1076 (2014)
Umbrello, D., Rizzuti, S., Outeiro, J., Shivpuri, R., M’Saoubi, R.: Hardness-based flow stress for numerical simulation of hard machining AISI H13 tool steel. J. Mater. Process. Technol. 199, 64–73 (2008)
Chaudhary, A., Kumar, D.A., Goel, A., Butola, R., Ranganath, M.S.: The mechanical properties of different alloys in friction stir processing: a review. Mater. Today Proc. 5, 5553–5562 (2018)
Brien, E.O.: Residual Stress—Friend or Foe A Civil Aircraft Perspective, Vol. 1, pp. 13−21. ICRS-6, Oxford, UK, 10–12 July (2000)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2019 Springer Nature Singapore Pte Ltd.
About this paper
Cite this paper
Butola, R., Murtaza, Q., Singari, R.M. (2019). CNC Turning and Simulation of Residual Stress Measurement on H13 Tool Steel. In: Narayanan, R., Joshi, S., Dixit, U. (eds) Advances in Computational Methods in Manufacturing. Lecture Notes on Multidisciplinary Industrial Engineering. Springer, Singapore. https://doi.org/10.1007/978-981-32-9072-3_29
Download citation
DOI: https://doi.org/10.1007/978-981-32-9072-3_29
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-32-9071-6
Online ISBN: 978-981-32-9072-3
eBook Packages: Chemistry and Materials ScienceChemistry and Material Science (R0)