Exploring the optimal structure of a CNC grinding machine

Abstract

For tool machinery design, the type of machine structure plays an important role for its final machining precision. In the marketplace, these structure types change very largely because of different application purposes and company's know-how. Facing the challenge of industry 4.0, all machine makers should have a quick and good method to optimally design and verify their machine product, and accordingly build a reliable database for further modifying, developing new models, or IOT applications. This study uses a hybrid design procedure which uses the experience and know-how as initial design bases and together with an optimal Taguchi-based CAE method to theoretical and efficiently obtain a high rigid structure. With this proposed methodology, machine designers may efficiently and quickly determine the optimal structure of any type of CNC machine tools, meanwhile the information of results may provide design details as the design database for further developing new models.