Definition
High-performance dry grinding (HPDG) is an abrasive cutting process with
high material removal rates
mostly high feed rate
no metal cutting fluid
force controlled depth of cut
self-sharpening grinding wheels
Theory and Applications
HPDG is frequently used for rough processing of metals like cutting off material and thus is a separate group of processes, which might even be the most frequently applied abrasive process. As explained in Kuffa (2017), the introduction of high-performance machining processes in general becomes increasingly significant among cutting processes and could be effectively introduced in many industrial applications by substituting one or more machining steps and saving costs. The significant high-performance grinding characteristics can be distinguished as high cutting depths, high feed rates, and high cutting speeds. This leads to high-specific removal rates....
This is a preview of subscription content, log in via an institution to check access.
References
Aurich JC, Herzenstiel P, Sudermann H, Magg T (2008) High-performance dry grinding using a grinding wheel with a defined grain pattern. CIRP Ann Manuf Technol 57:357–362
Denkena B, Grove T, Göttsching T (2015) Grinding with patterned grinding wheels. CIRP J Manuf Sci Technol 8:12–21
Ding W, Linke B, Zhu Y, Li Z, Fu Y, Su H, Xu J (2017) Review on monolayer CBN superabrasive wheels for grinding metallic materials. Chin J Aeronaut 30:109–134
Jackson MJ, Davim JP (2010) Machining with abrasives. Springer US, Boston
Klocke F, Barth S, Mattfeld P (2016) High performance grinding. Procedia CIRP 46:266–271
Kopac J, Krajnik P (2006) High-performance grinding – a review. J Mater Process Technol 175:278–284
Kuffa M (2017) High performance dry grinding. Disseratation, ETH Zürich
Kuffa M, Kuster F, Wegener K (2016a) Comparison of lubrication conditions for grinding of mild steel with electroplated cBN wheel. CIRP J Manuf Sci Technol 18:53
Kuffa M, Züger S, Kuster F, Wegener K (2016b) A kinematic process model and investigation of surface roughness for high efficiency dry grinding. Procedia CIRP 46:636–639
Kuffa M, Kuster F, Wegener K (2017) Stochastic kinematic process model with an implemented wear model for high feed dry grinding. Inventions 2:31
Li HN, Axinte D (2016) Textured grinding wheels: a review. Int J Mach Tools Manuf 109:8–35
Rowe BW (2009) Principles of modern grinding technology. William Andrew, Norwich
Shen JY, Wang JQ, Jiang B, Xu XP (2015) Study on wear of diamond wheel in ultrasonic vibration-assisted grinding ceramic. Wear 332–333:788–793
Uriarte L, Zatarain M, Axinte D, Yagüe-Fabra J, Ihlenfeldt S, Eguia J, Olarra A (2013) Machine tools for large parts. CIRP Ann Manuf Technol 62:731–750
Usui E, Shirakashi T, Kitagawa T (1978) Analytical prediction of three dimensional cutting process – Part 3: cutting temperature and crater wear of carbide tool. J Eng Ind 100:236–243
Usui E, Shirakashi T, Kitagawa T (1984) Analytical prediction of cutting tool wear. Wear 100:129–151
VDI 3411 (2000) Hochleistungsschleifen metallischer Werkstoffe mit CBN-Schleifscheiben und erhöhten Schnittgeschwindigkeiten. [High performance grinding of metallic materials using CBN grinding wheels and high cutting speeds]. Beuth, Berlin. (in German)
Wegener K (2012) Introduction to HPC 2012. Procedia CIRP 1:1–2
Wegener K, Hoffmeister HW, Karpuschewski B, Kuster F, Hahmann WC, Rabiey M (2011) Conditioning and monitoring of grinding wheels. CIRP Ann Manuf Technol 60:757–777
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Section Editor information
Rights and permissions
Copyright information
© 2018 CIRP
About this entry
Cite this entry
Kuffa, M., Wegener, K. (2018). High-Performance Dry Grinding. In: Int. Academy for Production Engineering, Chatti, S., Tolio, T. (eds) CIRP Encyclopedia of Production Engineering. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-35950-7_16865-1
Download citation
DOI: https://doi.org/10.1007/978-3-642-35950-7_16865-1
Received:
Accepted:
Published:
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-35950-7
Online ISBN: 978-3-642-35950-7
eBook Packages: Springer Reference EngineeringReference Module Computer Science and Engineering
