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Mimarlıkta Temsilin Dönüşümünü Ayrık Paradigması Üzerinden Sorgulamak
IF 4.9 2区 工程技术 Q1 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS Pub Date : 2023-03-06 DOI: 10.53710/jcode.1234988
Zeynep Sena Sancak
Mimaride temsil, tasarımcının düşünce süreçlerini ifade etmek için kullandığı yöntemler bütünüdür. Bilgisayarın günlük kullanıma dahil olmasıyla beraber gelişen ve farklılaşan bu yöntemler, beraberinde çeşitli sorgulamaları ve yeni temsil biçimlerini geliştirmiştir. Çalışmanın odaklandığı nokta, yeni tartışılan bir kavram olan ayrık paradigması ile mimari temsil ilişkisidir. Ayrık paradigması hesaplamalı tasarım yöntemlerini kullanarak mimarlığın temel yapı taşları ve kuralları üzerinde denemeler yaparak yeni bir söylem geliştirmeyi amaçlar. Bu bağlamda çalışma iki soru etrafında şekillenmiştir: Mimaride ayrık paradigması nedir? Tasarım süreci nasıl gerçekleşir? Çalışmada, ayrık paradigması hakkındaki görüşlerin tartışılması, tasarım ve temsil ilişkisinin irdelenmesi amaçlanmıştır. Çalışma üç bölümden oluşmaktadır. Birinci bölümde, temsil kavramı tanımlanıp, 1960’lı yıllardan itibaren günümüze kadar bilgisayar ortamında temsil süreçlerinin nasıl dönüştüğü incelenmiştir. İkinci bölümde ayrık paradigması tanımlanıp, konu hakkındaki görüşlere, üretilen projelere yer verilmiştir. Aynı zamanda ayrık paradigmasının temelini oluşturan; ayrıklık, süreklilik, mereoloji kavramları tartışılmıştır. Üçüncü bölümde ise paradigmanın bilgisayar ortamındaki temsilini incelemek adına Rhino Grasshopper’da form denemeleri yapılmıştır. Çalışma, tasarım sürecinde üzerine çok düşünülmeyen parçadan bütüne olan ilişkisinin potansiyellerinin ve temsil yöntemlerinin incelemesi adına önemlidir.
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引用次数: 0
A Method for Decoding and Representing Time in Fourdimensional Spaces via Digital Game Environment 基于数字游戏环境的四维空间时间解码与表示方法
IF 4.9 2区 工程技术 Q1 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS Pub Date : 2023-03-06 DOI: 10.53710/jcode.1248185
Betül Uyan, S. Yazici
The search for novel representation method is one of the critical components of the creative design process. Discoveries in science, such as four-dimensional (4D) spacetime, influenced artists and architects. However, existing representation techniques constrained in two-dimensional (2D) sheets for 4D spacetime for representation is evaluated as a limitation of architecture discipline. Currently, digital game environments are the potential mediums of 4D architectural representation. This study aims to decode and represent time as an entity of 4D spaces. Digital game environment provides the needed flexibility for experimenting in 4D space. Therefore, unity game engine and C# programming are used together with computer aided design (CAD) tools to generate 4D representations. 4D representations are based on two different impressions of time dimension as (1) time dilation and (2) distortion of spacetime. While time dilation is represented via motion blur (mB) script, distortion of spacetime is represented via motion trail (mT) script. As preliminary results, metrics of the time dimension in 4D spatio-temporal representations are introduced. Experimental 4D representations produced via Unity game engine and C# programming are presented to discuss the potential of game environments to be the medium of architectural representation.
寻找新颖的表现方法是创意设计过程的关键组成部分之一。科学上的发现,如四维时空,影响了艺术家和建筑师。然而,现有的表示技术被限制在二维(2D)表中,用于表示4D时空,被评估为建筑学科的局限性。目前,数字游戏环境是4D建筑表现的潜在媒介。本研究旨在将时间解码并表示为4D空间的实体。数字游戏环境为在4D空间中进行实验提供了所需的灵活性。因此,unity游戏引擎和c#编程与计算机辅助设计(CAD)工具一起使用来生成4D表示。四维表示是基于时间维度的两种不同印象,即(1)时间膨胀和(2)时空扭曲。时间膨胀用运动模糊(mB)脚本表示,时空扭曲用运动轨迹(mT)脚本表示。作为初步结果,介绍了四维时空表示中时间维度的度量。本文介绍了通过Unity游戏引擎和c#编程生成的实验性4D表示,以讨论游戏环境作为建筑表示媒介的潜力。
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引用次数: 0
Hierarchical reinforcement learning from competitive self-play for dual-aircraft formation air combat 双机编队空战竞争自玩中的分层强化学习
IF 4.9 2区 工程技术 Q1 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS Pub Date : 2023-03-03 DOI: 10.1093/jcde/qwad020
Weiren Kong, D. Zhou, Ying Zhou, Yiyang Zhao
The recent development of technology helps in the revolutionary war and it controls the war which is influenced by brilliant planning. The maneuver aircraft of intelligent algorithm aid the pilot to decide the particular position on the battlefield. Nowadays the hardware components of radar and missiles are widely used and the Beyond-Visual Range (BVR) is the most popular method applied in air combat. The introduction of close-range air combat maneuver decisions generates the attention of researchers in artificial intelligence. Most of the existing methods are based on autonomous aircraft focused in air combat scenario but manual air combats are widely applied in dual aircraft. Based on the factors mentioned above, a novel hierarchical maneuver decision architecture applied to a dual-aircraft close-range air combat scenario. Subsequently, the Soft Actor-Critic (SAC) algorithm is merged with competitive self-play which integrates the knowledge of sub-strategies. Further, the reinforcement learning technique is employed to achieve an approximate Nash equilibrium master strategy. The experimental results show that the hierarchical architecture exhibits good performance, symmetry, and robustness. The research generates a solution for intelligent formation of air combat in the future and guidance for Manned or unmanned aircraft cooperative combat.
最近技术的发展有助于革命战争,它控制了战争,而战争是由高明的计划所影响的。智能算法的机动飞机帮助飞行员确定战场上的特定位置。目前,雷达和导弹的硬件部件得到了广泛的应用,超视距(BVR)是空战中应用最广泛的方法。近距空战机动决策的引入引起了人工智能研究人员的关注。现有的方法大多是基于自主飞机的空战场景,而人工空战则广泛应用于双机空战场景。基于上述因素,提出了一种适用于双机近距离空战场景的分层机动决策体系结构。随后,将软Actor-Critic (SAC)算法与整合子策略知识的竞争性自我博弈算法相结合。进一步,采用强化学习技术实现近似纳什均衡主策略。实验结果表明,该结构具有良好的性能、对称性和鲁棒性。研究为未来空战智能编队和指导有人或无人飞机协同作战提供了解决方案。
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引用次数: 3
Deep learning-based framework for monitoring wearing personal protective equipment on construction sites 基于深度学习的建筑工地个人防护装备监测框架
IF 4.9 2区 工程技术 Q1 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS Pub Date : 2023-03-03 DOI: 10.1093/jcde/qwad019
Yeoreum Lee, Seung-Hwan Jung, Kyung-Su Kang, Han-Cheol Ryu, Hanyoung Ryu
The construction site is one of the most dangerous industries because the number of occupational injuries and fatalities is significantly higher compared to other industries. Proper use of personal protective equipment (PPE) by workers can reduce the risk of occupational injuries and fatalities. However, for a variety of reasons, workers tend not to wear their personal protective equipment properly. To address these issues, we propose a vision-based framework for monitoring wearing personal protective equipment. The developed framework is based on the real-time pixel-level detect model YOLACT, which employs MobileNetV3 as a backbone to lightweight the proposed framework. In addition, the framework uses DeepSORT of object tracking algorithm to interpolate frames not predicted by the model. The post-processing algorithm in our framework classifies the correlation between workers and PPE into four statuses based on the results predicted by YOLACT and the interpolated results from DeepSORT. The results showed that the fine-tuned model achieved 66.4 mAP50, and the algorithm successfully determined workers’ PPE-wearing status detection with 91.3% accuracy. This study shows the potential to prevent occupational injuries and reduce social costs by automating monitoring at construction sites in real-time.
建筑工地是最危险的行业之一,因为工伤和死亡人数明显高于其他行业。工人正确使用个人防护装备可以减少职业伤害和死亡的风险。然而,由于种种原因,工人往往没有正确佩戴个人防护装备。为了解决这些问题,我们提出了一个基于视觉的个人防护装备监测框架。所开发的框架基于实时像素级检测模型YOLACT,该模型采用MobileNetV3作为骨干来轻量级所提出的框架。此外,该框架还利用目标跟踪算法中的DeepSORT对模型未预测到的帧进行插值。我们框架中的后处理算法基于YOLACT预测的结果和DeepSORT插值的结果,将工人和PPE之间的相关性分为四种状态。结果表明,优化后的模型达到66.4 mAP50,该算法以91.3%的准确率成功确定了工人ppe佩戴状态检测。这项研究表明,通过在建筑工地进行实时自动化监控,可以预防职业伤害并降低社会成本。
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引用次数: 1
Mimarlıkta Sayısal Tasarım Pedagojisi Bağlamında Enformel Öğrenme
IF 4.9 2区 工程技术 Q1 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS Pub Date : 2023-02-28 DOI: 10.53710/jcode.1227228
Asena Kumsal ŞEN BAYRAM, Orkan Zeynel Güzelci, Sema Alaçam
Mimarlığın bilgi çağına adaptasyon süreci, araçlar, yöntemler ve bilişsel süreçler bağlamında hızlı bir değişim ile gerçekleşmektedir. Sayısal tasarım olarak adlandırılan bu sürecin etkileri, mimari tasarım pedagojisinin de bu yeni tasarım yaklaşımları bağlamında değerlendirilmesini zorunlu kılmaktadır. Bu çalışmada, güncel koşul ve ihtiyaçlara uyum sağlaması hedeflenen enformel öğrenme yaklaşımlarıyla temellenen bir sayısal mimari tasarım pedagojisi modeli önerilmektedir. Çalışma tasarımcı ve tasarım arasındaki süreçlerin eylem ve kavram döngüsündeki etkileşiminin mimarlıktaki sayısal dönüşümlerle nasıl değiştiğinin irdelendiği bir literatür araştırmasıyla başlamaktadır. Bu bölümden elde edilen verilerin, sayısal tasarımın pedagojik modellerinin tasarımcı-tasarım ilişkisinde farklı döngüler içinde olması gerekliliğini vurgulaması sebebi ile, çalışmanın ikinci bölümü, bilinen pedagojik modellerden esnek ve adapte olabilir yapısı ile ayrışarak, yürütücü-öğrenci ilişkisinde alternatif yaklaşımlar sunmasıyla bu araştırmaya katkı koyacağı düşünülen enformel öğrenme üzerine tartışmaların incelenmesi ile devam etmektedir. Bu bölümde aynı zamanda, enformel öğrenmenin ele alınan yönlerinin çalışmanın metodolojisiyle ilişkisi ortaya konularak, çalışma kapsamında geliştirilen modele ilişkin yöntem de açıklanmıştır. Geliştirilen model (i) uzaklaşma - yeniden buluşma; (ii) Fiziksel ve dijital ortamlar arasında gidiş gelişlerin çoğaltılması; (iii) katı modellemeden parametrik ve üretken modellemeye kadar farklı stratejiler olmak üzere üç ana eksenden oluşmaktadır. Modelin COVID-19 pandemisi döneminde, çevrimiçi ve enformel yöntemlere göre birbirini tamamlayan üçlü bir çalıştay dizisi ile test edilme sürecinin anlatıldığı üçüncü bölümü, modelin uygulanabilirliği ve tekrarlanabilirliği bağlamında tartışıldığı sonuç bölümü takip etmektedir.
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引用次数: 0
Deep learning for the design of phononic crystals and elastic metamaterials 设计声子晶体和弹性超材料的深度学习
IF 4.9 2区 工程技术 Q1 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS Pub Date : 2023-02-06 DOI: 10.1093/jcde/qwad013
Chen-Xu Liu, Gui-Lan Yu
The computer revolution coming by way of data provides an innovative approach for the design of phononic crystals (PnCs) and elastic metamaterials (EMs). By establishing an analytical surrogate model for PnCs/EMs, deep learning based on artificial neural networks (ANNs) possesses the superiorities of rapidity and accuracy in design, making up for the shortcomings of traditional design methods. Here, the recent progresses on deep learning for forward prediction, parameter design, and topology design of PnCs and EMs are reviewed. The challenges and perspectives in this emerging field are also commented.
以数据为载体的计算机革命为声子晶体(pnc)和弹性超材料(EMs)的设计提供了一种创新的方法。通过建立pnc /EMs的解析代理模型,基于人工神经网络(ann)的深度学习具有快速、准确的设计优势,弥补了传统设计方法的不足。本文综述了深度学习在pnc和EMs的前向预测、参数设计和拓扑设计方面的最新进展。并对这一新兴领域的挑战和前景进行了评述。
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引用次数: 9
Vibration analysis of electric motors considering rotating rotor structure using flexible multibody dynamics-electromagnetic-structural vibration coupled analysis 采用柔性多体动力-电磁-结构耦合分析考虑旋转转子结构的电动机振动
IF 4.9 2区 工程技术 Q1 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS Pub Date : 2023-02-02 DOI: 10.1093/jcde/qwad012
Seunghyeon Cho, K. Jeon, Chang-wan Kim
In this study, we develop flexible multibody dynamic-electromagnetic-structural vibration coupled analysis method to accurately predict motor vibration by considering the electromagnetic force characteristics, rotating characteristics of rotating motor motors, and their interactions at the no-load rated speed and operating speed range. The structural characteristics are accurately reflected by developing a 3-D finite element model considering the entire components of the motor. The reliability of the 3-D finite element model of the motor is verified using the impact hammer test. In addition, to consider the rotational characteristics of the rotor structure, we develop a flexible multibody dynamics model that connects the flexible rotor and the bearing with revolute joint. The vibration of the motor at the no-load rated speed is analyzed using flexible multibody dynamics-electromagnetic-structural vibration coupled analysis. Comparing the vibration test results, it is confirmed that the flexible multibody dynamics-electromagnetic-structural vibration coupled analysis result predicts the actual motor vibration more accurately than the conventional finite element analysis-based electromagnetic-structural vibration coupled analysis result. By using flexible multibody dynamics-electromagnetic-structural vibration coupled analysis in the operating speed range, it is confirmed that not only electromagnetic force harmonics but also sideband harmonics caused by rotor eccentricity induced large vibrations, and also confirmed that it accurately predicts the vibration characteristics of actual motors with rotating rotors.
在本研究中,我们建立了灵活的多体动力-电磁-结构振动耦合分析方法,通过考虑电磁力特性、旋转电机的旋转特性以及它们在空载额定转速和工作转速范围内的相互作用来准确预测电机的振动。通过建立考虑电机整体部件的三维有限元模型,准确地反映了电机的结构特性。通过冲击锤试验验证了电机三维有限元模型的可靠性。此外,考虑转子结构的转动特性,建立了将柔性转子与轴承通过转动关节连接起来的柔性多体动力学模型。采用柔性多体动力学-电磁-结构振动耦合分析方法对电机在空载额定转速下的振动进行了分析。对比振动试验结果,证实了柔性多体动力-电磁-结构振动耦合分析结果比传统基于有限元分析的电磁-结构振动耦合分析结果更准确地预测了电机的实际振动。通过在运行转速范围内的柔性多体动力学-电磁-结构振动耦合分析,证实了除了电磁力谐波外,转子偏心引起的边带谐波也会引起较大的振动,并证实了该方法能准确地预测实际转子旋转电机的振动特性。
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引用次数: 0
Data-driven intelligent computational design for products: method, techniques, and applications 数据驱动的产品智能计算设计:方法、技术和应用
IF 4.9 2区 工程技术 Q1 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS Pub Date : 2023-01-29 DOI: 10.1093/jcde/qwad070
Maolin Yang, P. Jiang, Tianshuo Zang, Yuhao Liu
Data-driven intelligent computational design (DICD) is a research hotspot that emerged under fast-developing artificial intelligence. It emphasizes utilizing deep learning algorithms to extract and represent the design features hidden in historical or fabricated design process data and then learn the combination and mapping patterns of these design features for design solution retrieval, generation, optimization, evaluation, etc. Due to its capability of automatically and efficiently generating design solutions and thus supporting human-in-the-loop intelligent and innovative design activities, DICD has drawn the attention of both academic and industrial fields. However, as an emerging research subject, many unexplored issues still limit the development and application of DICD, such as specific dataset building, engineering design-related feature engineering, systematic methods and techniques for DICD implementation in the entire product design process, etc. In this regard, a systematic and operable road map for DICD implementation from a full-process perspective is established, including a general workflow for DICD project planning, an overall framework for DICD project implementation, the common mechanisms and calculation principles during DICD, key enabling technologies for detailed DICD implementation, and three case scenarios of DICD application. The road map can help academic researchers to locate their specific research directions for the further development of DICD and provide operable guidance for the engineers in their specific DICD applications.
数据驱动的智能计算设计(DICD)是在人工智能快速发展的背景下出现的一个研究热点。它强调利用深度学习算法提取和表示隐藏在历史或虚构的设计过程数据中的设计特征,然后学习这些设计特征的组合和映射模式,用于设计方案的检索、生成、优化、评估等。由于能够自动有效地生成设计解决方案,从而支持人在环的智能和创新设计活动,DICD已经引起了学术界和工业界的关注。然而,作为一门新兴的研究课题,许多尚未探索的问题仍然限制了DICD的发展和应用,如具体的数据集构建、与工程设计相关的特征工程、在整个产品设计过程中实现DICD的系统方法和技术等。为此,从全流程的角度建立了系统的、可操作的DICD实施路线图,包括DICD项目规划的一般工作流程、DICD项目实施的总体框架、DICD实施过程中的通用机制和计算原则、具体实施DICD的关键使能技术和三种应用场景。该路线图可以帮助学术研究人员为DICD的进一步发展找到具体的研究方向,并为工程师在具体的DICD应用中提供可操作的指导。
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引用次数: 0
New families of cage-like structures based on Goldberg polyhedra with non-isolated pentagons 基于非孤立五边形的Goldberg多面体的笼状结构的新家族
IF 4.9 2区 工程技术 Q1 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS Pub Date : 2023-01-12 DOI: 10.1093/jcde/qwad005
A. R. javan, Yuanpeng Liu, Y. Xie
A Goldberg polyhedron is a convex polyhedron made of hexagons and pentagons that have icosahedral rotational symmetry. Goldberg polyhedra have appeared frequently in art, architecture, and engineering. Some carbon fullerenes, inorganic cages, viruses, and proteins in nature exhibit the fundamental shapes of Goldberg polyhedra. According to Euler's polyhedron formula, an icosahedral Goldberg polyhedron always has exactly 12 pentagons. In Goldberg polyhedra, all pentagons are surrounded by hexagons only—this is known as the isolated pentagon rule (IPR). The present study systematically developed new families of cage-like structures derived from the initial topology of Goldberg polyhedra but with the 12 pentagons fused in five different arrangements and different densities of hexagonal faces. These families might be of great significance in biology and chemistry, where some non-IPR fullerenes have been created recently with chemical reactivity and properties markedly different from IPR fullerenes. Furthermore, this study has conducted an optimisation for multiple objectives and constraints, such as equal edge length, equal area, planarity, and spherical shape. The optimised configurations are highly desirable for architectural applications, where a structure with a small number of different edge lengths and planar faces may significantly reduce the fabrication cost and enable the construction of surfaces with flat panels.
戈德堡多面体是由具有二十面体旋转对称的六边形和五边形组成的凸多面体。哥德堡多面体经常出现在艺术、建筑和工程中。自然界中的一些碳富勒烯、无机笼、病毒和蛋白质表现出戈德堡多多体的基本形状。根据欧拉多面体公式,一个二十面体哥德堡多面体总是恰好有12个五边形。在戈德堡多面体中,所有的五边形都被六边形包围,这就是所谓的孤立五边形规则(IPR)。本研究系统地开发了新的笼状结构族,这些结构族来源于Goldberg多面体的初始拓扑结构,但将12个五边形融合在五种不同的排列方式和不同密度的六边形面中。这些家族在生物学和化学领域可能具有重要意义,近年来已经产生了一些非IPR富勒烯,它们的化学反应性和性质与IPR富勒烯明显不同。此外,本研究还针对等边长、等面积、平面度、球形等多目标和约束条件进行了优化。优化的配置对于建筑应用来说是非常理想的,在建筑应用中,具有少量不同边缘长度和面面的结构可以显着降低制造成本,并能够构建平面面板的表面。
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引用次数: 1
Probabilistic framework for reliable optimal design of gearboxes in general-purpose industrial robots considering random use conditions 考虑随机使用条件的通用工业机器人齿轮箱可靠优化设计的概率框架
IF 4.9 2区 工程技术 Q1 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS Pub Date : 2023-01-11 DOI: 10.1093/jcde/qwad007
Jin-gyun Park, Heonjun Yoon, B. Youn
A vertically articulated robot with 6-degrees of freedom (DoF), called a general-purpose robot, can perform a myriad of different tasks within a workspace. This paper newly presents a probabilistic framework for the reliable optimal design of gearboxes used in general-purpose industrial robots, which considers random use conditions. To account for random use conditions, the start and end positions of a single motion profile are described as the random variable, which is statistically modeled as a uniform distribution based on the assumption that we have no information about the robot use pattern. Then, each sample of the random variable is converted to the corresponding motion profile by using an on-line trajectory planner. Monte Carlo simulation is implemented for the uncertainty propagation analysis, due to the heuristic feature of the on-line trajectory planner. In the design optimization formulation, the peak torque constraint and maximum bending moment constraint are described in a probabilistic manner. The system-level lifetime is calculated by combining component scale factors. The effectiveness of the proposed framework is demonstrated by examining a case study of a gearbox size problem for a 6-DoF serial industrial robot. The benefits of this study are as follows: Firstly, the proposed framework can evaluate the performance considering random use conditions. Secondly, torque reliability and bending moment reliability are newly proposed to ensure the dynamic performance of an industrial robot. Thirdly, the system-level lifetime by combining component scale factors gives more user-oriented and intuitive measure in an industrial robot design.
具有6个自由度(DoF)的垂直铰接机器人被称为通用机器人,它可以在工作空间内执行无数不同的任务。本文提出了一种考虑随机使用条件的通用工业机器人齿轮箱可靠优化设计的概率框架。为了考虑随机使用条件,单个运动轮廓的开始和结束位置被描述为随机变量,基于我们没有关于机器人使用模式的信息的假设,将其统计建模为均匀分布。然后,使用在线轨迹规划器将随机变量的每个样本转换为相应的运动轮廓。利用在线轨迹规划器的启发式特性,采用蒙特卡罗仿真方法进行不确定性传播分析。在设计优化公式中,以概率方式描述了峰值扭矩约束和最大弯矩约束。系统级寿命是通过组合组件规模因子来计算的。通过对6自由度系列工业机器人齿轮箱尺寸问题的实例研究,验证了所提框架的有效性。本研究的优势在于:首先,所提出的框架可以评估随机使用条件下的性能。其次,为保证工业机器人的动态性能,提出了力矩可靠度和弯矩可靠度。第三,结合部件尺度因子的系统级寿命为工业机器人设计提供了更加面向用户和直观的度量。
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引用次数: 0
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