2021
DOI: 10.1016/j.jmapro.2021.06.038
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Implicit force and position control to improve drilling quality in CFRP flexible robotic machining

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Cited by 28 publications
(12 citation statements)
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“…Even though there is a huge need for the mechanistic modelling of cutting force of CFRPs to understand the mechanics of cutting and predict cutting force, the recent models still need many fitting variables that make them challenging to implement [11,25]. Lee et al [26] developed a robotic drilling technology by implicit force and position control to improve hole quality in virgin CFRPs. They could reduce entry delamination by 66.76%.…”
Section: Introductionmentioning
confidence: 99%
“…Even though there is a huge need for the mechanistic modelling of cutting force of CFRPs to understand the mechanics of cutting and predict cutting force, the recent models still need many fitting variables that make them challenging to implement [11,25]. Lee et al [26] developed a robotic drilling technology by implicit force and position control to improve hole quality in virgin CFRPs. They could reduce entry delamination by 66.76%.…”
Section: Introductionmentioning
confidence: 99%
“…Real time communication protocols (Profinet, EtherCAT, Sercos…) are available to exchange joint position data (setpoints and real values) at high rates and in a deterministic way. This technology has already been used in different applications like robotic surgery [15] and machining [16]. KUKA robot manufacturer provides an NC kernel as an option of their KR controllers.…”
Section: Introductionmentioning
confidence: 99%
“…The specific static and dynamic characteristics of robotic arms require dedicated planing of machining operations to improve accuracy by using a multi-axis compensation mechanism [ 14 ] and position control depending on force [ 15 ], kinematic analysis of the arm [ 16 , 17 ], or the effective stiffness of the arm [ 18 ]. Alternatively, a dedicated design of robotic arm for machining can improve the stiffness and dynamic properties, as well as the costs [ 19 ], and specific robotic designs [ 20 , 21 ] have been analysed to better understand their dynamic responses.…”
Section: Introductionmentioning
confidence: 99%