Modeling and predicting of surface roughness for generating grinding gear

• Published in: Journal of materials processing technology Vol. 213; no. 5; pp. 717 - 721
• Main Authors: Chen, Haifeng, Tang, Jinyuan, Zhou, Wei
• Format: Journal Article
• Language: English
• Published: Elsevier B.V 01.05.2013
• Subjects: Algorithms; Gear grinding; Gears; Grains; Grooves; Involutes; Mathematical models; Modeling; Searching; Surface roughness; Modeling; Surface roughness; Gear grinding
• ISSN: 0924-0136
• DOI: 10.1016/j.jmatprotec.2012.11.017

► We developed a method for predicting surface roughness with the generating grinding process. ► This method takes into account the random distribution of the grain protrusion heights. ► The simulation shows that the root part of surface is smoother than the top part. Gear surface has a significant effect on the load-carrying capacity and plays a crucial role for wear, friction and lubrication properties of the contact. However, most mathematical model of a generating gear grinding process trends to focus on grinding forces and temperature distribution in gear tooth. A new method for predicting gear surface roughness with the generating grinding process is developed in this paper. An algorithm for geometrical analysis of the grooves on the gear surface left by idea conic grains is given. To determine the final gear surface roughness produced by thousands of grinding wheel grains with randomly distributed protrusion heights, a search technique is proposed to systematically solve the gear surface roughness, which starts from the addendum circle along the involutes direction and ends at the dedendum circle. The numerical calculated results show that the surface of gear root part is smoother than that of gear top part.