首页|New Robotics Findings Reported from Chongqing University (Research On Robotic Be lt Grinding Method of Blisk for Obtaining High Surface Integrity Features With V ariable Inclination Angle Force Control)

New Robotics Findings Reported from Chongqing University (Research On Robotic Be lt Grinding Method of Blisk for Obtaining High Surface Integrity Features With V ariable Inclination Angle Force Control)

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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Data detailed on Robotics have been pr esented. According to news reporting out of Chongqing, People's Republic of Chin a, by NewsRx editors, research stated, "The blisk was a new type of component fo r high-performance aero-engines, which could significantly improve the energy ef ficiency ratio of the engine, however there were also shortcomings such as narro w structure and difficult material removal. Robotic belt grinding was widely use d in the processing of key complex surfaces such as blades, fairings and propell ers, which is due to its large processing space and high flexibility." Financial supporters for this research include National Natural Science Foundati on of China (NSFC), National Science and Tech- nology Major Project, Basic Resea rch Funds for Central Universities. Our news journalists obtained a quote from the research from Chongqing Universit y, "Nevertheless, how to improve the surface integrity of the blisk under the pr emise of ensuring the profile accuracy was a challenging problem. In view of the above problems, this study started with the grinding force, and innovatively pr oposed a robotic belt grinding method for high surface integrity of blisk based on variable inclination angle force control. Firstly, a belt grinding robot base d on macro-micro-end hand structure and electromagnetic forcecontrolled end was designed based on indirect arm-winding control. Secondly, an adaptive variable i mpedance compliance based blisk grinding model was established through the relat ion expression of grinding end and the mathematical formula of inclination conta ct micro-surface control, which effectively coordinates the coupling relationshi p between force control and trajectory under inclined attitude. Lastly, the expe rimental study proved that the normal grinding force of this method was stable a nd the error was 1.14 %, the surface hardness and residual compress ive stress were improved by about 8.57 % and 52.82 % respectively, the surface morphology was uniform and the surface defects are wel l suppressed."

ChongqingPeople's Republic of ChinaA siaEmerging TechnologiesMachine LearningRoboticsRobotsChongqing Univer sity

2024

Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
年,卷(期):2024.(Apr.3)