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Energy Efficiency Analysis in a Textile Company Using DMAIC Approach

IOP Conference Series: Materials Science and engineering 2021年第1期1096卷

作者： S Sakti B M Sopha E S T Saputra Industrial Engineering Program Department of Mechanical and Industrial Engineering Universitas Gadjah Mada (UGM) Yogyakarta Indonesia

Textile industries generally consume a significant amount of electricity in their business operations, hence, efforts to reduce their consumption is necessary. This study assesses the energy consumption and energy saving opportunities in a textile company in Indonesia. A structured energy audit using Define-Measure-Analyze-Improve-Control (DMAIC) was implemented in the Spinning department. The evaluation indicates that 80% of the Specific Energy Consumption (SEC) are dominated by the factory air conditioner and chiller which is corresponding to 515 kWh/kg and 219 kWh/kg respectively. The Coefficient of Performance (COP) of the plant cooling system is 7.41 which conforms to the COP national standard. Further energy-saving opportunities include closing the door and other gateways of the air, replacing the refrigerant material from Freon R-134 to Musicool Mc-134, and installing inverter on mist nozzle motor, evaporator pump, condenser pump, and cooling tower.

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A self-standing,UV-cured semi-interpenetrating polymer network reinforced composite gel electrolytes for dendrite-suppressing lithium ion batteries

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Journal of Materiomics 2019年第2期5卷 185-194页

作者： Ruiping Liu Zirui Wu Peng He Haoyu Fan Zeya Huang Lei Zhang Xinshuang Chang Hang Liu Chang-an Wang Yutao Li Department of Materials Science and Engineering China University of Mining&Technology(Beijing)Beijing 100083China School of Materials Science and Engineering State Key Laboratory of New Ceramics and Fine ProcessingTsinghua UniversityBeijing 100084China Department of Mechanical Engineering University of Alaska FairbanksFairbanksAK 99775United States Materials Science and Engineering Program and Texas Materials Institute The University of Texas at AustinTexas78712United States

A self-standing,flexible and lithium dendrite growth-suppressing composite gel polymer electrolyte membrane was designed for the use of room-temperature lithium ion *** multi-functional composite semi-interpenetrating polymer network(referred to as“Cs-IPN”)electrolyte membrane was fabricated by combining a UV-cured ethoxylated trimethylolpropane triacrylate(ETPTA)macromer with alumina nanoparticles in the presence of liquid electrolyte and thermoplastic linear poly(ethylene oxide)(PEO).The polymer electrolyte membrane exhibits a semi-interpenetrating polymer network structure and a higher room temperature ionic conductivity,which impart the electrolyte with a significant cycling(120 mAh g^(-1)after 200 cycles)and a remarkable rate(137 mAh g^(-1)at 0.1℃,130 mAh g^(-1)at 0.5℃,119 mAh g^(-1)at 1℃ and 100 mAh g^(-1)at 2℃)performance in Li/LiFePO4 *** importantly,the polymer electrolyte possesses superior ability to inhibit the growth of lithium dendrites,which makes it promising for next generation lithium ion batteries.

关键词： Gel polymer electrolytes Semi-interpenetrating polymer network UV-Cured reaction Ionic conductivity Lithium ion batteries

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A self-sustaining process theory for uniform momentum zones and internal shear layers in high Reynolds number shear flows

arXiv

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arXiv 2020年

作者： Montemuro, Brandon White, Christopher M. Klewicki, Joseph C. Chini, Gregory P. Program in Integrated Applied Mathematics University of New Hampshire DurhamNH03824 United States Department of Mechanical Engineering University of New Hampshire DurhamNH03824 United States Department of Mechanical Engineering University of Melbourne MelbourneVIC3010 Australia

Many exact coherent states (ECS) arising in wall-bounded shear flows have an asymptotic structure at extreme Reynolds number Re in which the effective Reynolds number governing the streak and roll dynamics is O(1). Consequently, these viscous ECS are not suitable candidates for quasi-coherent structures away from the wall that necessarily are inviscid in the mean. Specifically, viscous ECS cannot account for the singular nature of the inertial domain, where the flow self-organizes into uniform momentum zones (UMZs) separated by internal shear layers and the instantaneous streamwise velocity develops a staircase-like profile. In this investigation, a large-Re asymptotic analysis is performed to explore the potential for a three-dimensional, short streamwise- and spanwise-wavelength instability of the embedded shear layers to sustain a spatially-distributed array of much larger-scale, effectively inviscid streamwise roll motions. In contrast to other self-sustaining process theories, the rolls are sufficiently strong to differentially homogenize the background shear flow, thereby providing a mechanistic explanation for the formation and maintenance of UMZs and interlaced shear layers that respects the leading-order balance structure of the mean dynamics. Copyright © 2020, The Authors. All rights reserved.

关键词： Shear flow

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ASPEN Plus simulation of palm kernel shells, waste shiitake substrate, and sewage sludge co-gasification

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Energy 2025年 329卷

作者： Guan-Bang Chen Yun-Ting Hsu Department of Aeronautics and Astronautics National Cheng Kung University Tainan 701 Taiwan ROC International Degree Program on Energy Engineering National Cheng Kung University Tainan 701 Taiwan ROC Research Center for Energy Technology and Strategy National Cheng Kung University Tainan 701 Taiwan ROC Department of Mechanical Engineering National Cheng Kung University Tainan 701 Taiwan ROC

An ASPEN Plus model, incorporating a kinetic model that includes tar cracking, was developed to simulate the co-gasification of palm kernel shells (PKS), waste shiitake substrates, and sewage sludge (SS). Different treatment methods were applied during the pyrolysis stage for various feedstocks. A comprehensive parameter analysis was conducted and the parameters included gasification temperature, feedstock blending ratio (BR), gasifying agent mixing ratio (MR), and equivalence ratio (ER). In PKS and SS co-gasification, BR and ER had the most significant impact on CO production, while MR and BR were key for H 2 and CH 4 yields. SS gasification performed optimally at low ER (0.1), while PKS preferred ER 0.3. The highest H 2 yield was 0.0032 kg/h, CO 0.1171 kg/h, and the optimal H 2 /CO ratio of 0.89 occurred at 800 °C, SS feed, pure steam, and ER 0.4. In shiitake substrate and SS co-gasification, BR influenced syngas components, with higher ratios reducing CO, H 2 , and CH 4 yields. The optimal ER for CH 4 and CO production was 0.2, and the highest H 2 /CO ratio (2.47) occurred at 900 °C, pure SS, 60 % steam/40 % CO 2 , and ER 0.4. Shiitake gasification produced the highest CO and H 2 , while SS had the highest H 2 /CO ratio.

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Alcocrcu0.5feni High-Entropy Alloy Samples Fabricated by Laser Powder Bed Fusion

SSRN

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SSRN 2022年

作者： Andreoli, Angelo F. Noaimy, Omar Al AlMangour, Bandar He, Tianbing Batalha, Rodolfo Lisboa IFW Dresden Institute for Complex Materials Helmholtzstraße 20 Dresden01069 Germany Department of Mechanical Engineering King Fahd University of Petroleum & Minerals Dhahran31261 Saudi Arabia Interdisciplinary Research Center for Intelligent Manufacturing & Robotics King Fahd University of Petroleum & Minerals Dhahran31261 Saudi Arabia Materials and Technologies Department of Research Development and Innovation Instituto de Soldadura e Qualidade Avenida Professor Dr. Cavaco Silva 33 Taguspark Porto Salvo Oeiras2740-120 Portugal

This study aimed to determine the printability of the AlCoCrCu 0.5 FeNi high-entropy alloy produced by laser powder bed fusion (LPBF) and evaluate the degree of densification, microstructural evolution, and mechanical behavior of as-printed samples. It was found that the powders exhibited a body-centered cubic BCC/B2 crystal structure. For the LPBF-processed samples besides the BCC/B2 structure the face-centered cubic (FCC) phase is present. The LPBF-processed samples suffered from extensive solidification cracks, mainly in the building direction, that may have been induced by the BCC/B2 solid-state spinodal decomposition and/or residual stresses accumulated during building, although the samples show good compressive strength. © 2022, The Authors. All rights reserved.

关键词： Entropy

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Design of A Multi-Functional Soft Ankle Exoskeleton for Foot-Drop Prevention, Propulsion Assistance, and Inversion/Eversion Stabilization

Design of A Multi-Functional Soft Ankle Exoskeleton for Foot...

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IEEE/RAS-EMBS International Conference on Biomedical robotics and Biomechatronics (BioRob)

作者： Haisheng Xia Junghan Kwon Prabhat Pathak Jooeun Ahn Peter B. Shull Yong-Lae Park State Key Laboratory of Mechanical Systems and Vibration School of Mechanical Engineering Shanghai Jiao Tong University Shanghai China Department of Mechanical Engineering Soft Robotics Research Center (SRRC) the Institute of Advanced Machines and Design (IAMD) Seoul National University Seoul South Korea Department of Physical Education Seoul National University Seoul South Korea

ISBN: (数字)9781728159072

ISBN: (纸本)9781728159089

Stroke often results in hemiplegia, which greatly affects the walking ability of the patients. We propose a multi-functional portable ankle exoskeleton for use in preventing foot-drops, assisting propulsion, and stabilizing inversion/eversion during walking to help gait rehabilitation of stroke patients. The portable ankle exoskeleton was fabricated by 3D printing a soft/rigid hybrid structure. The device was able to prevent foot-drop and assist propulsion with a bi-directional cable-driven actuation system. It also showed a capability of stabilizing inversion/eversion motions using a counter-electromotive force of two small, lightweight gear motors. The device was controlled by a microcontroller based on real-time feedback from one inertial measurement unit and a customized force sensitive resistor. The device is fully untethered with all the components integrated on-board, with a total weight of less than 1 kg. Five healthy subjects performed over-ground walking tests with the proposed ankle exoskeleton for three different walking situations (normal walking, walking with simulated foot-drop, and walking on an uneven terrain) and three walking conditions (without the exoskeleton, with the exoskeleton powered off, and with the exoskeleton powered on). From the test results, we confirmed the feasibility of the proposed ankle exoskeleton for foot-drop prevention, propulsion assistance, and inversion/eversion stabilization. The ankle exoskeleton showed a potential for wearable gait rehabilitation for stroke patients with high mobility and portability.

关键词： Legged locomotion Exoskeletons Propulsion Robots DC motors Stroke (medical condition) Connectors

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Microstructure and Quasi-Static mechanical Behavior of Cryoforged AA2519 Alloy

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Materials Sciences and Applications 2019年第2期10卷 137-149页

作者： Amin Azimi Gbadebo Moses Owolabi Hamid Fallahdoost Nikhil Kumar Horace Whitworth Department of Mechanical Engineering Howard University Washington DC USA Department of Mechanical Engineering Materials Science and Engineering Program Binghamton University (SUNY) Binghamton NY USA

In this study, AA2519 alloy was initially processed by multi axial forging (MAF) at room and cryogenic temperatures. Subsequently, the microstructure and the mechanical behavior of the processed samples under quasi-static loading were investigated to determine the influence of cryogenic forging on alloys’ subgrains dimensions, grain boundaries interactions, strength, ductility and toughness. In addition, the failure mechanisms at the tensile rupture surfaces were characterized using scanning electron micro-scope (SEM). The results show significant improvements in the strength, ductility and toughness of the alloy as a result of the cryogenic MAF process. The formation of nanoscale crystallite microstructure, heavily deformed grains with high density of grain boundaries and second phase breakage to finer particles were characterized as the main reasons for the increase in the mechanical properties of the cryogenic forged samples. The cryogenic processing of the alloy resulted in the formation of an ultrafine grained material with tensile strength and toughness that are ~41% and ~80% higher respectively after 2 cycles MAF when compared with the materials processed at ambient temperature. The fractography analysis on the tested materials shows a substantial ductility improvement in the cryoforged (CF) samples when compared to the room temperature forged (RTF) samples which is in alignment with their stress-strain profiles. However, extended forging at higher cycles than 2 cycles led only to increase in strength at the expense of ductility for both the CF and RTF samples.

关键词： AA2519 Aluminum Alloy Cryogenic Forging Quasi-Static mechanical Behavior Microstructure Investigation Fractography Analysis

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Roadmap on soft robotics: multifunctionality, adaptability and growth without borders

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Multifunctional Materials 2022年第3期5卷 032001-032001页

作者： Mazzolai, Barbara Mondini, Alessio Del Dottore, Emanuela Margheri, Laura Carpi, Federico Suzumori, Koichi Cianchetti, Matteo Speck, Thomas Smoukov, Stoyan K. Burgert, Ingo Keplinger, Tobias Siqueira, Gilberto De Freitas Vanneste, Felix Goury, Olivier Duriez, Christian Nanayakkara, Thrishantha Vanderborght, Bram Brancart, Joost Terryn, Seppe Rich, Steven I. Liu, Ruiyuan Fukuda, Kenjiro Someya, Takao Calisti, Marcello Laschi, Cecilia Sun, Wenguang Wang, Gang Wen, Li Baines, Robert Patiballa, Sree Kalyan Kramer-Bottiglio, Rebecca Rus, Daniela Fischer, Peer Simmel, Friedrich C Lendlein, Andreas Bioinspired Soft Robotics Laboratory Istituto Italiano di Tecnologia Italy Department of Industrial Engineering University of Florence Via di S. Marta 3 Florence50139 Italy Department of Mechanical Engineering Tokyo Institute of Technology Ookayama Meguro Tokyo152-8550 Japan The BioRobotics Institute Scuola Superiore Sant’Anna Pisa56025 Italy Department of Excellence in Robotics & AI Scuola Superiore Sant’Anna Pisa56025 Italy Plant Biomechanics Group & Botanic Garden and Cluster of Excellence livMatS @ FIT University of Freiburg Germany Active and Intelligent Materials Laboratory Queen Mary University of London LondonE1 4NS United Kingdom Wood Materials Science Institute for Building Materials ETH Zurich Zurich8093 Switzerland Cellulose and Wood Materials Laboratory Empa Swiss Federal Laboratories for Materials Science and Technology Dübendorf8600 Switzerland University of Lille Inria CNRS Centrale Lille UMR 9189 CRIStAL LilleF-59000 France Dyson School of Design Engineering Imperial College London United Kingdom Vrije Universiteit Brussel and imec Brussels Belgium Thin-Film Device Laboratory RIKEN 2-1 Hirosawa Saitama Wako351-0198 Japan Center for Emergent Matter Science RIKEN 2-1 Hirosawa Saitama Wako351-0198 Japan Electrical and Electronic Engineering and Information Systems The University of Tokyo 7-3-1 Hongo Bunkyo-ku Tokyo113-8656 Japan The BioRobotics Institute Scuola Superiore Sant’Anna Italy Lincoln Institute for Agri-food Technology University of Lincoln Lincoln United Kingdom Department of Mechanical Engineering National University of Singapore Singapore School of Mechanical Engineering and Automation Beihang University Beijing100191 China Department of Mechanical Engineering and Materials Science Yale University New HavenCT06511 United States CSAIL MIT Schwarzman College of Computing United States Max Planck Institute for Intelligent Systems Heisenbergstr. 3 Stuttgart70569 Germany Institute of Physical Chemistry

Soft robotics aims at creating systems with improved performance of movement and adaptability in unknown, challenging, environments and with higher level of safety during interactions with humans. This Roadmap on Soft robotics covers selected aspects for the design of soft robots significantly linked to the area of multifunctional materials, as these are considered a fundamental component in the design of soft robots for an improvement of their peculiar abilities, such as morphing, adaptivity and growth. The roadmap includes different approaches for components and systems design, bioinspired materials, methodologies for building soft robots, strategies for the implementation and control of their functionalities and behavior, and examples of soft-bodied systems showing abilities across different environments. For each covered topic, the author(s) describe the current status and research directions, current and future challenges, and perspective advances in science and technology to meet the challenges. © 2022 The Author(s). Published by IOP Publishing Ltd.

关键词： Machine design

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Gesture2Path: Imitation Learning for Gesture-aware Navigation

arXiv

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arXiv 2022年

作者： Cuan, Catie Lee, Edward Fisher, Emre Francis, Anthony Takayama, Leila Zhang, Tingnan Toshev, Alexander Pirk, Sören Department of Mechanical Engineering Stanford University Stanford94305 United States Everyday Robots 100 Mayfield Ave Palo AltoCA94043 United States Robotics at Google 1600 Amphitheatre Parkway Mountain ViewCA94304 United States Apple ML Research Apple Park 1 CupertinoCA95014 United States Adobe Research 345 Park Avenue San JoseCA95110-2704 United States

As robots increasingly enter human-centered environments, they must not only be able to navigate safely around humans, but also adhere to complex social norms. Humans often rely on non-verbal communication through gestures and facial expressions when navigating around other people, especially in densely occupied spaces. Consequently, robots also need to be able to interpret gestures as part of solving social navigation tasks. To this end, we present Gesture2Path, a novel social navigation approach that combines image-based imitation learning with model-predictive control. Gestures are interpreted based on a neural network that operates on streams of images, while we use a state-of-the-art model predictive control algorithm to solve point-to-point navigation tasks. We deploy our method on real robots and showcase the effectiveness of our approach for the four gestures-navigation scenarios: left/right, follow me, and make a circle. Our experiments indicate that our method is able to successfully interpret complex human gestures and to use them as a signal to generate socially compliant trajectories for navigation tasks. We validated our method based on in-situ ratings of participants interacting with the robots. © 2022, CC BY-SA.

关键词： Model predictive control

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Corrigendum to “Steering feel improvement by mathematical modeling of the electric power steering system”

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Mechatronics 2021年 79卷

作者： Jung Hyun Choi Kanghyun Nam Sehoon Oh Department of Robotics Engineering DGIST Daegu 42988 Republic of Korea School of Mechanical Engineering Yeungnam University Gyeongsan 38541 Republic of Korea

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