A neural network approach for predicting kinematic errors solutions for trochoidal machining in the matsuura MX-330 Five-axis Machine
| Autor: | Hacene Ameddah, Farid Bettine, Manaa Rabah |
|---|---|
| Rok vydání: | 2018 |
| Předmět: |
0209 industrial biotechnology
business.product_category Inverse kinematics Artificial neural network Computer science business.industry Mechanical Engineering 02 engineering and technology Kinematics G-code Perceptron Machine tool 020303 mechanical engineering & transports 020901 industrial engineering & automation Software 0203 mechanical engineering Machining Mechanics of Materials business computer Algorithm computer.programming_language |
| Zdroj: | FME Transactions. 46:453-462 |
| ISSN: | 2406-128X 1451-2092 |
| Popis: | The prediction of machining accuracy of a Five-axis Machine tool is a vital process in precision manufacturing. This work presents a novel approach for predicting kinematic errors solutions in five axis Machine. This approach is based on Artificial Neural Network (ANN) for trochoidal milling machining strategy. We proposed a multi-layer perceptron (MLP) model to find the inverse kinematics solution for a Five-axis Machine Matsuura MX-330. The data sets for the neural-network model is obtained using Matsuura MX-330 kinematics software. The solution of each neural network is estimated using inverse kinematics equation of the Machine tool to select the best one. As a result, the Neural Network implementation improves the performance of the learning process. In this work trochoidal trajectory generation formulation has been developed and simulated using the software Matlab Inc. The main advantage of the trochoidal path is to present a continuous path radius leading the machining process to take place under favorable conditions (no impact, less marking of the part, ...). Obtaining the toolpath is to allow programming of the toolpath according to ISO 6983 (which defines the principles of the G code). For this, numerical study of trochoidal strategy and experimental result are presented with aims to full milling and to ensure a control of radial engagement. |
| Databáze: | OpenAIRE |
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