Details
| Original language | English |
|---|---|
| Pages (from-to) | 89-96 |
| Number of pages | 8 |
| Journal | Procedia Manufacturing |
| Volume | 14 |
| Publication status | Published - 5 Dec 2017 |
Abstract
For manufacturing of large parts made of lightweight materials like aluminum, fiber reinforced plastics or composites for example for the frame in aerospace or automotive industries more and more industrial robots are used. Their main challenge is the low stiffness compared to conventional machine tools resulting in positioning errors. A lot of research is done in order to compensate trajectory errors and enable them for milling operations, which result from the weaknesses in the kinematic. Nevertheless, dynamic properties influence the process stability, which cannot be compensated with the robot control as the dynamic of the joint, and the cycle time of the robot control is limited. Therefore, different robot designs are presented and compared regarding their stiffness, dynamic properties and costs. Afterwards the main weaknesses of the selected design were identified and used for optimization to reduce the deflection and positioning errors during cutting operation. Furthermore, the machine tool structure was topologically optimized for different poses to achieve a higher accuracy in the working space.
Keywords
- industrial robot, machining, topology optimization
ASJC Scopus subject areas
- Engineering(all)
- Industrial and Manufacturing Engineering
- Computer Science(all)
- Artificial Intelligence
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In: Procedia Manufacturing, Vol. 14, 05.12.2017, p. 89-96.
Research output: Contribution to journal › Article › Research › peer review
}
TY - JOUR
T1 - Design and optimization of a machining robot
AU - Denkena, Berend
AU - Bergmann, Benjamin
AU - Lepper, Thomas
N1 - Funding information: This research and development project is funded by the German Federal Ministry of Education and Research (BMBF) within the program I“ nnovations for Tomorrows’ Production, Services, and Work” (02P14A161) and managed by the Project Management Agency Karlsruhe (PTKA). The authors thank the project partners, DECKEL MAHO Pfronten GmbH, Schaeffler Technologies GmbH & Co. KG, INA – Drives & Mechatronics AG & Co. KG, Ringler GmbH, Invent GmbH and BCT Steuerungs-und DV-Systeme GmbH for the collaborative work and their yield experiences. The authors are responsible for the contents of this publication.
PY - 2017/12/5
Y1 - 2017/12/5
N2 - For manufacturing of large parts made of lightweight materials like aluminum, fiber reinforced plastics or composites for example for the frame in aerospace or automotive industries more and more industrial robots are used. Their main challenge is the low stiffness compared to conventional machine tools resulting in positioning errors. A lot of research is done in order to compensate trajectory errors and enable them for milling operations, which result from the weaknesses in the kinematic. Nevertheless, dynamic properties influence the process stability, which cannot be compensated with the robot control as the dynamic of the joint, and the cycle time of the robot control is limited. Therefore, different robot designs are presented and compared regarding their stiffness, dynamic properties and costs. Afterwards the main weaknesses of the selected design were identified and used for optimization to reduce the deflection and positioning errors during cutting operation. Furthermore, the machine tool structure was topologically optimized for different poses to achieve a higher accuracy in the working space.
AB - For manufacturing of large parts made of lightweight materials like aluminum, fiber reinforced plastics or composites for example for the frame in aerospace or automotive industries more and more industrial robots are used. Their main challenge is the low stiffness compared to conventional machine tools resulting in positioning errors. A lot of research is done in order to compensate trajectory errors and enable them for milling operations, which result from the weaknesses in the kinematic. Nevertheless, dynamic properties influence the process stability, which cannot be compensated with the robot control as the dynamic of the joint, and the cycle time of the robot control is limited. Therefore, different robot designs are presented and compared regarding their stiffness, dynamic properties and costs. Afterwards the main weaknesses of the selected design were identified and used for optimization to reduce the deflection and positioning errors during cutting operation. Furthermore, the machine tool structure was topologically optimized for different poses to achieve a higher accuracy in the working space.
KW - industrial robot
KW - machining
KW - topology optimization
UR - http://www.scopus.com/inward/record.url?scp=85037123789&partnerID=8YFLogxK
U2 - 10.1016/j.promfg.2017.11.010
DO - 10.1016/j.promfg.2017.11.010
M3 - Article
AN - SCOPUS:85037123789
VL - 14
SP - 89
EP - 96
JO - Procedia Manufacturing
JF - Procedia Manufacturing
ER -