Development of a hand-held Burr measurement system for statistical process control of the trimming process

Abstract

Burrs' presence in autobody panels is perceived as highly damaging since they aflectpnal quality especially in terms of corrosion resistance and assembly pegormances. Burr formation can be controlled during the trimming [2] therefore a hand held device that measure such a phenomenon is required by the automotive industry. Several sensing techniques were explored [3J choosing, for this application, a cantilever probe Jitted with strain gauges. The signal was amplified acquired and displayed employing an 8-bit microcontroller. The developed device shows high repeatability and it will be applied to set up an X-R Statistical Process Control Chart within an automotive manufacturer.

Burrs—Analysis, control and removal

“…AE signals are sampled during laser machining/deburring under various experimental conditions and analyzed using several signal processing methods including AE rms and spectral analysis. Benati [22] presents a hand-held burr measurement system. This measuring method is based on a cantilever beam sensing burr height.…”

Deburring of Sheet Metal by Barrel Finishing

“…In sheet metal processes, burr formation has been largely studied by measuring [3][4][5][6][7], simulation and optimization [8][9][10][11][12][13][14]. Several deburring methods have been proposed in order to remove the burrs from blanking, punching, stamping, deep drawing, bending, etc.…”

Instrumented tools and algorithms for estimation of human joint mechanical impedance during tooling tasks

“…Contact estimation based on force/torque sensing was initially proposed in the 80's [29][30][31] and later used in different scenarios. Salisbury [32] described how joint torque measurements in a robot arm might be used to determine the location of a contact on its links; Bicchi et al [13] introduced the contact centroid for characterizing soft finger contact and emphasized the role of the wrench axis [33,34], which will be described later in this thesis; Zhou et al [35] formalized the method to localize the contact for robotic fingers and carried out an accuracy analysis based on noise levels in force/torque sensors; Benati et al [36] developed a hand-held burr measurement device for trimming process based on a cantilever beam sensing burr height. In recent years, Charles et al [37] presented a sensorised hand-held belt CHAPTER 1.…”