Rosli, Nurwahida (2019) Toolpath And Holes Accuracy Of Robotic Machining For Drilling Process. Project Report. UTeM, Melaka, Malaysia. (Submitted)
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Abstract
Robotic machining is the new technology that develop flexible manufacturing system which contributes to perform automatically such as drilling, milling, grinding and deburring process. This aim of this project is to investigate the toolpath and holes accuracy on different arm robot positioning, holes orientation and materials type, to develop and validate prediction model for toolpath and holes accuracy and to propose the best robot arm positioning. Three parameters that are the arm robot positioning, materials type and orientation was relate to each other and are design for the experiment. By using response surface methodology (RSM), design of experiment (DOE) is planning by considering the three parameters mentioned above. Two different materials were used in this experiment that are High-density polyethylene and aluminium sheet 6061 are used. Based on the DOE the experiment is conducted to the COMAU robot and data had been collected. Then, using CMM machine the toolpath and holes accuracy produced was analysed using Design Expert software of ANOVA analysis. The prediction model was developed and validate. Two factors that are arm robot positioning and materials type significant to the holes accuracy while holes orientation is not significant to the response. The most significant factor to the toolpath accuracy is materials type and holes orientation. The prediction model was developed for both response and validation was done with average percentage error of 1% for both responses. The best arm robot positioning that contribute to higher toolpath and holes accuracy is 1000mm.
Item Type: | Final Year Project (Project Report) |
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Uncontrolled Keywords: | Robot wrists, Robotics, Drilling and boring |
Subjects: | T Technology > TJ Mechanical engineering and machinery |
Divisions: | Library > Final Year Project > FKP |
Depositing User: | Sabariah Ismail |
Date Deposited: | 02 Dec 2020 03:55 |
Last Modified: | 19 Dec 2023 07:27 |
URI: | http://digitalcollection.utem.edu.my/id/eprint/24828 |
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