Insight最新文献

{"title":"Model-Based Framework for Data and Knowledge-Driven Systems Architecting Demonstrated on a Hydrogen-Powered Concept Aircraft","authors":"Nils Kuelper,&nbsp;Thimo Bielsky,&nbsp;Jasmin Broehan,&nbsp;Frank Thielecke","doi":"10.1002/inst.12475","DOIUrl":"https://doi.org/10.1002/inst.12475","url":null,"abstract":"<div>\u0000 \u0000 <p>Aircraft development is a protracted process over many years. Novel concept aircraft with new energy sources and disruptive systems technologies are investigated during the aircraft conceptual design phase with the goal to achieve sustainable aviation. Current development cycles need to be accelerated to reduce time to market and development costs of novel aircraft, while still handling complexity and uncertainty of systems technologies. Therefore, a holistic framework for knowledgebased systems architecting using a model-based systems engineering approach is presented. This framework has the purpose to conserve and provide knowledge, that is, information, data, and experiences about existing systems architectures, to the engineer. The developed framework consists of a database concept, a method for model-based systems architecting, and an interface to the overall systems design software tool <i>GeneSys</i>. Based on evaluating different modeling languages and tools, <i>MathWorks System Composer</i> is selected as most suitable tool for knowledge-based systems architecting. The developed framework is then demonstrated by conserving and reusing formalized knowledge for the design of a novel hydrogen-powered concept aircraft. On-board systems architecture models are saved in a database and automatically recreated reducing development time. The complete graphical representation could not yet be stored in a formalized manner partly reducing the advantage of a clear representation of model-based systems architecting. However, this did not reduce automatic recreation and evaluation capabilities.</p>\u0000 </div>","PeriodicalId":13956,"journal":{"name":"Insight","volume":"27 1","pages":"47-60"},"PeriodicalIF":1.1,"publicationDate":"2024-03-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140042964","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Think Like an Ecosystem: Transitioning Waste Streams to Value Streams","authors":"Rae Lewark,&nbsp;Allison Lyle,&nbsp;Kristina Carroll,&nbsp;Casey Medina","doi":"10.1002/inst.12477","DOIUrl":"https://doi.org/10.1002/inst.12477","url":null,"abstract":"<div>\u0000 \u0000 <p>To meet the material demands of the future, transitioning waste streams to value streams is a vital step in ecological and economic sustainability. Linear production design disposes of resources before their optimal value have been realized and loses recyclable resources to waste streams. The economic infrastructure of the planet needs to be reimagined to meet human and ecological needs. The development and implementation of circular systems is key to the creation of sustainable global production. Through the analysis of the copper used in medical devices, we illustrate considerations systems engineers can take to close the waste-resource gap. Developing wasteless design mimics the resiliency seen in ecosystems and accelerates the evolution of the global economy to meet the needs of companies, the environment, and humankind.</p>\u0000 </div>","PeriodicalId":13956,"journal":{"name":"Insight","volume":"27 1","pages":"75-82"},"PeriodicalIF":1.1,"publicationDate":"2024-03-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140042966","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A Geo-Spatial Method for Calculating BEV Charging Inconvenience using Publicly Available Data","authors":"Aaron I. Rabinowitz,&nbsp;John G. Smart,&nbsp;Timothy C. Coburn,&nbsp;Thomas H. Bradley","doi":"10.1002/inst.12473","DOIUrl":"https://doi.org/10.1002/inst.12473","url":null,"abstract":"<div>\u0000 \u0000 <p>As governments and the automotive industry push towards electrification, it becomes increasingly critical to address the factors which influence individual car buying decisions. Evidence suggests that operational inconvenience or the perception thereof plays a large role in consumer decisions concerning battery electric vehicles (BEVs). BEV ownership inconvenience and its causal factors have been relatively understudied, rendering efforts to mitigate the issues insufficiently informed. This paper presents a method of producing an empirical equation which relates operational inconvenience to a small number of housing and local electric vehicle supply equipment (EVSE) infrastructure factors. The paper then further provides a method of applying the equation in a geo-spatial context allowing for the evaluation of the effects of policies in a geographical manner. this method enables future quantitative analyses concerning investment in EVSE infrastructure to be directly sensitive to BEV operational inconvenience due to charging.</p>\u0000 </div>","PeriodicalId":13956,"journal":{"name":"Insight","volume":"27 1","pages":"27-38"},"PeriodicalIF":1.1,"publicationDate":"2024-03-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140042993","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Sustainability: A Complex System Governance Perspective","authors":"Charles B. Keating,&nbsp;Polinpapilinho F. Katina,&nbsp;Joseph M. Bradley,&nbsp;Richard Hodge,&nbsp;James C. Pyne","doi":"10.1002/inst.12471","DOIUrl":"https://doi.org/10.1002/inst.12471","url":null,"abstract":"<div>\u0000 \u0000 <p>This paper explores the sustainability field from a complex system governance (CSG) perspective. In general, sustainability suggests maintenance at a specific rate or level. It is also frequently held as maintaining ecological balance to negate the depletion of natural resources. CSG offers sustainability a theoretically grounded, model based, and methodologically sound approach to better inform sustainability design, execution, and development for complex systems. CSG examines sustainability as an outcome-based product resulting from effective governance of an underlying system which produces sustainability. Thus, sustainability is proposed as a ‘systems engineered product’, whose design, execution, and development will be favored by CSG systems engineering. Following an introduction, two primary objectives are pursued. First, systems theory is used to provide an alternative view of sustainability. Second, a perspective of sustainability is developed through the paradigm of the emerging CSG field. The paper closes with the contributions, opportunities, and challenges for deployment of CSG for enhanced development, transition, and maintenance of sustainable systems.</p>\u0000 </div>","PeriodicalId":13956,"journal":{"name":"Insight","volume":"27 1","pages":"8-17"},"PeriodicalIF":1.1,"publicationDate":"2024-03-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140042991","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Applying a System of Systems Perspective to Hyundai-Kia's Virtual Tire Development","authors":"Sunkil Yun,&nbsp;Shashank Alai,&nbsp;Yongdae Kim,&nbsp;Tae Kook Kim,&nbsp;Jaehun Jo,&nbsp;Dahyeon Lee,&nbsp;Lokesh Gorantla,&nbsp;Michael Baloh","doi":"10.1002/inst.12476","DOIUrl":"https://doi.org/10.1002/inst.12476","url":null,"abstract":"<div>\u0000 \u0000 <p>Systems engineering has become important in almost every complex product manufacturing industry, especially automotive. Emerging trends like vehicle electrification and autonomous driving now pose a system of systems (SoS) engineering challenge to automotive OEMs. This paper presents a proof-of-concept (PoC) that applies a top-down SoS perspective to Hyundai-Kia Motor Corporation's (HKMC) virtual product development process to develop a performance-critical component of the vehicle, the tire. The PoC demonstrates using the Arcadia MBSE method to develop a consistent, layered, vehicle architecture model starting from the SoS operational context down to the lowest level of system decomposition in the physical architecture thereby capturing top-down knowledge traceability Using the concept of functional chains, several vehicle performance views are captured that serve as the basis for architecture verification orchestration across engineering domains using a cross-domain orchestration platform thereby validating key vehicle/tire performance metrics that influence the tire design parameters. Preliminary results of the study show that applying a method-based modeling approach could provide several benefits to HKMC's current product development approach such as reduced time to model, SoS knowledge capture and reusability, parameter/requirement traceability, early performance verification, and effective systems engineering collaboration between the OEM, tire design supplier, and tire manufacturers.</p>\u0000 </div>","PeriodicalId":13956,"journal":{"name":"Insight","volume":"27 1","pages":"61-74"},"PeriodicalIF":1.1,"publicationDate":"2024-03-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140042965","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Approaches to assess reliability in visual inspection","authors":"M Blankschän, D Kanzler, R Liebich","doi":"10.1784/insi.2023.65.10.541","DOIUrl":"https://doi.org/10.1784/insi.2023.65.10.541","url":null,"abstract":"Non-destructive testing (NDT) plays an important role in quality assurance and ensuring reliable ongoing operations in many industries. Thus, the importance of reliability assessment of inspection results is increasing. Current standards and regulations provide several approaches for this purpose. For example, DIN EN ISO/IEC 17025:2018-03 provides general requirements to determine measurement uncertainty. In contrast, method-related standards such as DIN ISO 19828:2021-03 specify detailed requirements for visual inspection (VT), considering environmental conditions and other factors (for example experience of the inspection personnel). In contrast, VDA Volume 5 defines visual inspection as an attributive method, making measurement uncertainty determinations unnecessary. Instead, the reliability of the inspection process is evaluated by proficiency tests. This paper examines approaches of regulations, based on previous experiments, for their applicability and suitability for considering the reliability of visual inspections. It is shown that individual measurement values (for example illuminance) are not suitable for this purpose. Furthermore, it is shown that human factors (HFs) (for example training or experience of the inspector), considered in isolation, are also not sufficiently suitable. Hence, the combination of the qualification of inspection methods, by means of proficiency tests on reference objects, and the application of Cohen's kappa for evaluating human factors appeared to be more suitable for the investigated issue.","PeriodicalId":13956,"journal":{"name":"Insight","volume":"54 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135707285","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Multi-view feature fusion fault diagnosis method based on an improved temporal convolutional network","authors":"Zhiwu Shang, Hu Liu, Baoren Zhang, Zehua Feng, Wanxiang Li","doi":"10.1784/insi.2023.65.10.559","DOIUrl":"https://doi.org/10.1784/insi.2023.65.10.559","url":null,"abstract":"This paper addresses the problem of fault identification in rotating machinery by analysing vibration data using a neural network approach. Temporal convolutional networks (TCNs) have attracted a lot of focus in the domain of fault identification; however, TCN convolution kernels are small and susceptible to high-frequency noise interference. Furthermore, the default weight coefficient of the internal residual connection is 1. When there are few residual blocks, the residual block characteristic extraction ability is suppressed and only the vibration signal collected at a single location is utilised for fault diagnosis as it contains incomprehensive fault information. To tackle the above issues, this paper proposes a multi-view feature fusion fault diagnosis algorithm with an adaptive residual coefficient assignment TCN with wide first-layer kernels (WD-ARCATCN). Firstly, a WD-ARCATCN feature extraction network is designed to extract deep state features from different views and the first layer of the TCN is set as a wide-kernel (WD) convolutional layer to suppress high-frequency noise. An adaptive residual coefficient assignment (ARCA) unit is designed in the residual connection to increase the characteristic learning capability of the residual blocks and the residual blocks with ARCA units are stacked to further extract multi-view deep fault features. In this paper, acceleration signals collected at different positions are used as the multi-view feature source for the first time and the fault information contained is more comprehensive. Then, based on a self-attention mechanism, the multi-view feature fusion method is improved and the view weights are adaptively assigned to effectively fuse different view characteristics and enhance the identification of the fault characteristics. Finally, the mapping between the multi-view fusion features and the labels is achieved using a softmax classifier. The algorithm has been tested using experimental data from the bearing vibration database at Case Western Reserve University (CWRU) and it performed much better compared to other diagnostic algorithms.","PeriodicalId":13956,"journal":{"name":"Insight","volume":"44 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135708229","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Analysis of acoustic emission testing on the adherent layer thickness of lap joints under tensile loading","authors":"K Mohamed Bak, K Kalaichelvan, M Abdur Rahman, S Haque, S Shaul Hameed, A S Selvakumar","doi":"10.1784/insi.2023.65.10.545","DOIUrl":"https://doi.org/10.1784/insi.2023.65.10.545","url":null,"abstract":"This paper aims to investigate the bonding strength of lap joints under tensile loading by altering the thickness of the adherent layer. The results show that increasing the adherent layer thickness of the bonded lap joint reduced stress concentration, indicating a higher stress transmission between the overlapping regions. Acoustic emission (AE) signals were used to identify the different failure modes and their frequency ranges by subjecting the AE signals to parametric analysis, fast Fourier transform (FFT) analysis, continuous wavelet transform (CWT) analysis and discrete wavelet transform (DWT) analysis. FFT analysis identified the frequency ranges of adhesive failure, fibre tear failure and mixed failure. At the same time, DWT was more effective at identifying the frequency ranges of the failure modes associated with varying adherent layer thicknesses in lap joints. Adhesive failure was characterised by low amplitudes, low frequency ranges and low energy levels. In contrast, delamination displayed moderate amplitudes, moderate frequency ranges and medium energy levels. High amplitudes, high frequency ranges, high energy levels and strong signal strength indicated mixed failures.","PeriodicalId":13956,"journal":{"name":"Insight","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135708175","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Binocular vision vibration measurement based on pixel coordinate matching of inner corner points in a chequerboard","authors":"Xianghong Wang, Zezhong He, Jun Liu, Xiaoqiang Xu, Hongwei Hu","doi":"10.1784/insi.2023.65.10.551","DOIUrl":"https://doi.org/10.1784/insi.2023.65.10.551","url":null,"abstract":"A binocular vision measurement system provides a simple method for obtaining three-dimensional vibration data from moving objects, which is suitable for vibration monitoring of large structures such as bridges. Aiming to address the problem that the feature selection process for binocular visual inspection affects the measurement accuracy, chequerboard feature points are selected in this paper for carrying out a visual displacement measurement method. Firstly, pixel coordinate matching of the inner corner points in the chequerboard is completed and then a binocular vision measurement system is established. The measurement results are compared with using circular feature points. Secondly, the binocular vision measurement model is applied to the vibration measurement of a cantilever beam. Using comparisons with a three-axis acceleration sensor, the effectiveness and accuracy of this method are evaluated. Finally, the method is applied to measure the vibration of the cantilever beam under different load conditions and its vibration characteristics are analysed. The results show that the accuracy of the binocular vision measurement method based on pixel coordinate matching of the inner corner points in the chequerboard is higher than that using circular feature points. From comparisons with the acceleration sensor, the measurement error of this method is found to be small. In addition, the method can effectively analyse the vibration performance of a cantilever beam under different load conditions. Therefore, this measurement method is effective and provides a theoretical basis for the identification of vibration characteristics in large engineering structures.","PeriodicalId":13956,"journal":{"name":"Insight","volume":"49 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135708226","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Hybrid adaptive control of CNC drilling for enhancement of tool life and surface quality","authors":"J Susai Mary, M A Sai Balaji, D Dinakaran","doi":"10.1784/insi.2023.65.10.570","DOIUrl":"https://doi.org/10.1784/insi.2023.65.10.570","url":null,"abstract":"Intelligent machining requires the online adaptation of the machining parameters to improve tool life and product quality and to reduce machining costs. This article presents a novel hybrid adaptive control (HAC) system for a drilling process. The HAC system is a combination of two adaptive controls: geometric adaptive control (GAC) and adaptive control by optimisation (ACO). It keeps the roughness of the holes within tolerance without compromising tool life. A response surface model (RSM) is used for modelling the drill wear and surface roughness with speed, feed, acceleration and force signals as inputs. The model predicts the wear and roughness with prediction accuracies of 97.1% and 93.6%, respectively. The roughness control is achieved through a Massachusetts Institute of Technology rule and tool wear is minimised by genetic algorithm optimisation. The adaptive algorithms are simulated and validated for the machining conditions given by the adaptive algorithms. The results show an improved tool life of 7% and surface roughness of 11%.","PeriodicalId":13956,"journal":{"name":"Insight","volume":"207 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135707294","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}