Robotic assisted milling for increased productivity

Öztürk, Erdem; Barrios, Asier; Sun, Chao; Rajabi, Sajad; Muñoa, Jokin

doi:10.1016/j.cirp.2018.04.031

Cited by 34 publications

(8 citation statements)

References 5 publications

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“…Similar tasks have been automated outside of medicine and could represent an opportunity for innovation. Robot‐automation for milling and contouring is a widely available process in other applications, providing high accuracy and precision for complex shaping 9,10 . These processes rely on computer‐derived milling paths, leading to intricately carved pieces.…”

Section: Introductionmentioning

confidence: 99%

Robot‐Automated Cartilage Contouring for Complex Ear Reconstruction: A Cadaveric Study

et al. 2020

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Objectives/Hypothesis Auricular reconstruction requiring manual contouring of costal cartilage is complex and time consuming, which could be facilitated by a robot in a fast and precise manner. This feasibility study evaluates the accuracy and speed of robotic contouring of cadaver costal cartilage. Methods An augmented robot with a spherical burr was used on cadaveric rib cartilage. Using a laser scanner, each rib section was converted to a three‐dimensional model for preoperative planning. A model ear was also scanned to define a carving path for each piece of cartilage. After being contoured, each specimen was compared against the preoperative plan utilizing deviation maps to analyze topographic accuracy. Contouring times of the robot were compared with 13 retrospectively reviewed cases (2006–2017) by an experienced surgeon. Results Scanning the cartilage sections took 24.8 ± 6.8 seconds. Preoperative processing took an additional 29.9 ± 8.9 seconds for the preparation of the contouring path. Once the path was prepared, the robot contoured the specimens with a root mean square error of 0.54 mm and a mean absolute deviation of 0.40 mm. The average time to contour the specimens with the robot was 13 ± 2 minutes compared to 71 ± 6 minutes for the manual contouring in the reviewed cases. Conclusions The accuracy of the robotic system was high, with submillimeter deviations from the preoperative plan. The robot required <20% of the contouring time compared to the experienced surgeon. This represents a fast and accurate alternative to hand‐contouring costal cartilage grafts for auricular reconstruction. Laryngoscope, 131:1002–1007, 2021

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Section: Introductionmentioning

confidence: 99%

Robot‐Automated Cartilage Contouring for Complex Ear Reconstruction: A Cadaveric Study

et al. 2020

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“…Present method is similar to the double-sided milling method which was proposed by Shamoto et al [18,19], in which the both sides of a thin plate are machined by a right and a left face milling cutter placed simultaneously. Recently, Fei et al [20,21] proposed that using the moving xture to suppress the chatter vibration and workpiece deformation while Ozturk et al [22] proposed that using the moving robot support to increase the production during machining. However, the method proposed in their investigation was used in thin wall machining.…”

Section: Proposed Methods and Its Modelmentioning

confidence: 99%

Thin floor milling using moving support

Fei

Lin

Huang

et al. 2022

Int J Adv Manuf Technol

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“…Robotic assisted machining is particularly beneficial for thin wall parts, where problems such as high form errors and chatter are very common. Ozturk et al [176] demonstrated the use of mobile rubber roller support that follows the feed motion of the machine tool. The rubber roller on the robot applies both support force and provides additional damping to the part.…”

Section: Thin Wall Machiningmentioning

confidence: 99%

Robots in machining

et al. 2019

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Robotic machining centers offer diverse advantages: large operation reach with large reorientation capability, and a low cost, to name a few. Many challenges have slowed down the adoption or sometimes inhibited the use of robots for machining tasks. This paper deals with the current usage and status of robots in machining, as well as the necessary modelling and identification for enabling optimization, process planning and process control. Recent research addressing deburring, milling, incremental forming, polishing or thin wall machining is presented. We discuss various processes in which robots need to deal with significant process forces while fulfilling their machining task.

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Robotic assisted milling for increased productivity

Cited by 34 publications

References 5 publications

Robot‐Automated Cartilage Contouring for Complex Ear Reconstruction: A Cadaveric Study

Robot‐Automated Cartilage Contouring for Complex Ear Reconstruction: A Cadaveric Study

Thin floor milling using moving support

Robots in machining

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