A Wireless Force-Sensing and Model-Based Approach for Enhancement of Machining Accuracy in Robotic Milling

Cen, Lejun; Melkote, Shreyes N.; Castle, James; Appelman, Howard

doi:10.1109/tmech.2016.2567319

Cited by 53 publications

(18 citation statements)

References 30 publications

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“…Cen and Melkote [100] recently presented a wireless force sensing based approach to compensate for robot positioning errors in robotic milling, summarized in Fig. 26.…”

Section: Methodsmentioning

confidence: 99%

“…22, 24 and 27 provide quantitative examples of the reduction in machining error using online compensation strategies reported in Refs. [96], [97] and [100], respectively. It is evident, though, from the literature review on online process control strategies that there is room for further improvement in robotic machining accuracy through sensor feedback and control.…”

Section: Methodsmentioning

confidence: 99%

“…Surface error reduction in a straight peripheral end milling cut using force sensor-based feedback[100].…”

mentioning

confidence: 99%

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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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“…Cen and Melkote [100] recently presented a wireless force sensing based approach to compensate for robot positioning errors in robotic milling, summarized in Fig. 26.…”

Section: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

See 1 more Smart Citation

Robots in machining

et al. 2019

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“…In the last decade, wireless communication and networking techniques used in the applications of mechatronics have immensely grown due to the necessity of mobility, which enables an AMS/poaAMSs to move around independently and to communicate wirelessly. Some of these techniques can be observed in the applications of exploration using mobile robots [70], [71], underwater systems [72], surgery [73], intelligent buildings [74], pedestrian localization [75], tracking systems [76], [17], micromedical robots for capsule endoscope [77], [78], localization for pipeline inspection [79], robotic milling [80], remote pain monitoring systems [81], stroke rehabilitation systems [82] and intelligent transportation systems [83].…”

Section: Wireless Communications Assisted Amssmentioning

confidence: 99%

“…One compelling application of wireless mechatronics is the robotic milling with the aid of wireless force sensing in order to increase the accuracy of robotic milling, while conserving its adaptability [80], where wireless polyvinyldene flouride sensors are utilized for real time force measurement. Cen et al [80] concerned with the high transmission speed constraint between external PC and robot controller.…”

Section: Wireless Communications Assisted Amssmentioning

confidence: 99%

Transformation to Advanced Mechatronics Systems Within New Industrial Revolution: A Novel Framework in Automation of Everything (AoE)

Kuru

Yetgin

2019

IEEE Access

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The recent advances in cyber-physical domains, cloud, cloudlet, and edge platforms along with the evolving Artificial Intelligence (AI) techniques, big data analytics, and cutting-edge wireless communication technologies within the Industry 4.0 (4IR) are urging mechatronics designers, practitioners, and educators to further review the ways in which mechatronics systems are perceived, designed, manufactured, and advanced. Within this scope, we introduce the service-oriented cyber-physical advanced mechatronics systems (AMSs) along with current and future challenges. The objective in AMSs is to create remarkably intelligent autonomous products by 1) forging effective sensing, self-learning, Wisdom as a Service (WaaS), Information as a Service (InaaS), precise decision making, and actuation using effective locationindependent monitoring, control and management techniques with products and 2) maintaining a competitive edge through better product performances via immediate and continuous learning, while the products are being used by customers and are being produced in factories within the cycle of Automation of Everything (AoE). With the advanced wireless communication techniques and improved battery technologies, the AMSs are capable of getting independent and working with other massive AMSs to construct robust, customizable, energy-efficient, autonomous, intelligent, and immersive platforms. In this regard, rather than providing technological details, this paper implements philosophical insights into 1) how mechatronics systems are being transformed into AMSs; 2) how robust AMSs can be developed by both exploiting the wisdom created within cyber-physical smart domains in the edge and cloud platforms and incorporating all the stakeholders with diverse objectives into all phases of the product life-cycle; and 3) what essential common features AMSs should acquire to increase the efficacy of products and prolong their product life. Against this background, an AMS development framework is proposed in order to contextualize all the necessary phases of AMS development and direct all stakeholders to rivet high-quality products and services within AoE. INDEX TERMS Advanced mechatronics systems, Wisdom as a Service (WaaS), Information as a Service (InaaS), Industry 4.0 (4IR), cyber-physical domains, cloud and edge/fog platforms, Automation of Everything (AoE).

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