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Journal ArticleDOI

High Precision Reducers for Industrial Robots Driving 4th Industrial Revolution: State of Arts, Analysis, Design, Performance Evaluation and Perspective

TLDR
This paper presents review of high precision reducers (HPRs) for industrial robots driving 4th industrial revolution, and provides HPRs market along with industrial robots, and principle, characteristics, and three main performances of H PRs are discussed.
Abstract
New industrial revolution - “The 4th industrial revolution” must be a remarkable milestone for the second decade of the twenty-first century. Many countries are competing to innovate their manufacturing chains for eco-friendly and energy-efficient productions. Although this green or sustainable manufacturing system evolves under the support of cyber-physical system (or digital twin) based on ICT technology, industrial robots also play important roles in this speedy, flexible and effective manufacturing chains. Recently, low-cost industrial robots or collaborative robots, are rising in a highly interactive environment with humans. Although an industrial robot consists of many important components such as mechanical parts (kinematic structure and reducer) and electric parts (servo motor, driver, sensors, and controller), precision reducer takes approximately 25% of material-cost and governs important performance indices of industrial robots. This paper presents review of high precision reducers (HPRs) for industrial robots driving 4th industrial revolution. First, we provide HPRs market along with industrial robots. According to previous studies, HPRs for industrial robots can be classified based on their principles: planetary reducer, cycloid reducer, and harmonic drive (HD). Then, principle, characteristics, and three main performances (hysteresis, rotational transmission error (RTE) and efficiency) of HPRs are discussed. In addition, compensation methods overcoming accuracy limits of HPRs are summarized. Finally, other applications of HPRs except industrial robots are presented.

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A comprehensive review of artificial intelligence-based approaches for rolling element bearing PHM: shallow and deep learning

TL;DR: This paper first reviews the fundamentals of prognostics and health management techniques for REBs, and provides overviews of contemporary REB PHM techniques with a specific focus on modern artificial intelligence (AI) techniques (i.e., shallow learning algorithms).
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Review of Soft Actuator Materials

TL;DR: A thorough review of selected soft actuator materials is carried out in this paper, including responsive gels/hydrogels, ionic polymer metal composites, conducting polymers, carbon nanotubues/graphenes, dielectric elastomers, shape memory polymers and biopolymers.
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Robotic Machining: A Review of Recent Progress

TL;DR: Recent progress in robotic machining has been summarized, such as kinematic calibration and compliance error compensation to improve the accuracy of roboticMachining.
Journal ArticleDOI

Dynamic modelling and contact analysis of bearing-cycloid-pinwheel transmission mechanisms used in joint rotate vector reducers

TL;DR: In this paper, a generalised dynamic model is proposed for bearing-cycloid-pinwheel transmission mechanisms (BCPTMs) that are used in robot joint rotate vector (RV) reducers, which can be used to investigate the effect of changing the geometrical design parameters of the cycloidal gear and turn-arm bearings on the dynamic contact response and internal load transmission characteristics.
Journal ArticleDOI

Processing technologies for Nomex honeycomb composites (NHCs): A critical review

TL;DR: A comprehensive literature review on the processing complexity of Nomex honeycomb composites and particularly emphasis on the design issues of processing technologies, influence of conventional and ultrasonic processing technologies on surface quality and cutting forces, impact of cutting tools design factors and processing parameters on the performance of the machining systems as mentioned in this paper.
References
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Journal ArticleDOI

A review of shape memory alloy research, applications and opportunities

TL;DR: Shape memory alloys (SMAs) are a class of shape memory materials (SMMs) which have the ability to "memorise" or retain their previous form when subjected to certain stimulus such as thermomechanical or magnetic variations.
Journal ArticleDOI

Smart manufacturing: Past research, present findings, and future directions

TL;DR: In this article, the authors surveyed and analyzed various articles related to Smart Manufacturing, identified the past and present levels, and predicted the future, and the major key technologies related to smart manufacturing were identified through the analysis of the policies and technology roadmaps of Germany, the U.S., and Korea that have government-driven leading movements for Smart Manufacturing.
Journal ArticleDOI

Sustainability in manufacturing and factories of the future

TL;DR: In this article, a new holistic perspective on the factory of the future is presented, which is more suitable with respect to the new trends, and a selection of factory perspectives is revised.
Patent

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