Human-robot collaborative reconfigurable platform for surface finishing processes

Abstract Surface polishing can be counted among the most challenging manufacturing operations, especially when high qualitative levels in terms of surface texture characteristics are requested, such as in the case of polishing operations for plastic injection moulds. Robot-based solutions for surface polishing and quality assessment operations have been proposed at the state of the art, but it still is required the involvement of skilled workers for process supervision and final tuning operations. The introduction of human-machine collaborative solutions opens new opportunities, as the use of symbiotic polishing approaches, where both the humans and the machines capabilities can be shared to improve process effectiveness. The current work proposes a human-robot collaborative approach for surface polishing processes that integrates state of the art robot-based polishing and surface quality assessment technologies in a human-safe shared working environment. As a proof of approach feasibility, the paper presents the prototype of a reconfigurable platform designed to implement a flexible human-robot collaborative scenario for execution of polishing and quality assessment operations. Preliminary demonstrative polishing sessions on simple and complex components validate the system effectiveness with respect to manufacturing efficiency and reconfigurability capabilities. The results obtained provide a first positive response that symbiotic approach can objectively improve the polishing processes.

[1]  Sabeur Mezghani,et al.  Dependence of tooth flank finishing on powertrain gear noise , 2015 .

[2]  Francesco Leali,et al.  Reconfigurable Robotic Solution for Effective Finishing of Complex Surfaces , 2018, 2018 IEEE 23rd International Conference on Emerging Technologies and Factory Automation (ETFA).

[3]  Roberto Teti,et al.  Surface Roughness Evaluation Based on Acoustic Emission Signals in Robot Assisted Polishing , 2014, Sensors.

[4]  Vladislav Smolentsev,et al.  The combined finishing of geometrically-complex parts , 2017 .

[5]  Fritz Klocke,et al.  Robot Assisted Manufacturing System for High Gloss Finishing of Steel Molds , 2012, ICIRA.

[6]  Giuliano Bissacco,et al.  Development of on the machine process monitoring and control strategy in Robot Assisted Polishing , 2015 .

[7]  László Dudás Optimal Manufacturing Technology Determination for the Main Parts of a Rotary Internal Combustion Engine , 2018 .

[8]  L. Guvenç,et al.  An overview of robot-assisted die and mold polishing with emphasis on process modeling , 1997 .

[9]  Fritz Klocke,et al.  Robotic finishing process – An extrusion die case study , 2015 .

[10]  Francesco Gherardini,et al.  Modelling and Simulation of a Hydrostatic Steering System for Agricultural Tractors , 2018 .

[11]  Roberto Teti,et al.  Signal processing and pattern recognition for surface roughness assessment in multiple sensor monitoring of robot-assisted polishing , 2017 .

[12]  Niels Bay,et al.  Manufacture of functional surfaces through combined application of tool manufacturing processes and Robot Assisted Polishing , 2012 .

[13]  Francesco Leali,et al.  Augmented reality based approach for on-line quality assessment of polished surfaces , 2019, Robotics Comput. Integr. Manuf..

[14]  Marcello Pellicciari,et al.  A Calibration Method for the Integrated Design of Finishing Robotic Workcells in the Aerospace Industry , 2013 .

[15]  R. Teti,et al.  Analysis of Force Signals for the Estimation of Surface Roughness during Robot-Assisted Polishing , 2018, Materials.