Off-campus UMass Amherst users: To download dissertations, please use the following link to log into our proxy server with your UMass Amherst user name and password.
Non-UMass Amherst users, please click the view more button below to purchase a copy of this dissertation from Proquest.
(Some titles may also be available free of charge in our Open Access Dissertation Collection, so please check there first.)
Computer simulation for form grinding process
Abstract
A computer simulation for form grinding processes has been developed. The objective of the simulation is to predict what occurs during the process. The simulation is based on analytical and empirical models derived from the results of past research investigations on grinding. The main components of the simulation include data input, grinding model, and output results. Process related input data are entered into the program through an interactive dialogue. Input data includes processing parameters and workpiece related information including wheelspeed, feed rate, workpiece profile, grinding fluid, workpiece material, machine stiffness, etc. For form grinding, an especially important input is the workpiece profile. A user-friendly program was constructed to facilitate the profile input. The grinding model works as a virtual grinder to simulate process behavior and generate all the necessary data for predicting the results. The final output presents the detailed results in graphical form, including: infeed, forces, power, grinding zone temperature, final profile, specific energy, etc. In addition to the cycle simulation, an economic module is also included to estimate the time and costs per operation based on cycle related data and grinding wheel life criteria. The relevant background and flow charts for both the grinding simulation program and the economic module are presented in detail.
Subject Area
Mechanical engineering
Recommended Citation
Chiu, Neng-Hsin, "Computer simulation for form grinding process" (1993). Doctoral Dissertations Available from Proquest. AAI9408264.
https://scholarworks.umass.edu/dissertations/AAI9408264