Journal of advanced manufacturing and processing最新文献_第8页

Handling of stealthy sensor and actuator cyberattacks on evolving nonlinear process systems 演化非线性过程系统的隐形传感器和执行器网络攻击处理

Journal of advanced manufacturing and processing Pub Date : 2021-06-11 DOI: 10.1002/amp2.10099

Henrique Oyama, Keshav Kasturi Rangan, Helen Durand

{"title":"Handling of stealthy sensor and actuator cyberattacks on evolving nonlinear process systems","authors":"Henrique Oyama, Keshav Kasturi Rangan, Helen Durand","doi":"10.1002/amp2.10099","DOIUrl":"10.1002/amp2.10099","url":null,"abstract":"Cyberattacks on control systems in the chemical process industries cause concern regarding how they can impact finances, safety, and production levels of companies. A key practical challenge for cyberattack detection and handling using process information is that process behavior evolves over time. Conceivably, changes in process dynamics might cause some detection strategies to flag a change in the dynamics as an attack due to the new data appearing abnormal compared to data from before the dynamics changed. In this work, we utilize several case studies to probe the question of what might be the impacts, benefits, and limitations of cyberattack detection and handling policies when the process dynamics change over time. The goal of this work is to characterize, through simulation studies, characteristics, which might be desirable and undesirable in cyberattack detection and handling procedures when process evolution is inevitable. We demonstrate challenges with cyberattack detection when process dynamics change and subsequently, discuss two concepts for handling attacks—one which utilizes a two-tier detection strategy in which model reidentification is triggered when it is not clear whether an attack or a change in the process dynamics has occurred, and one in which control signals are injected at intervals by the actuators. We utilize simulations to elucidate characteristics of these strategies and demonstrate that verifiability of attack-handling methods is key to their implementation (i.e., ad hoc tuning has potential to leave vulnerabilities which an attacker might locate and exploit).","PeriodicalId":87290,"journal":{"name":"Journal of advanced manufacturing and processing","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-06-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1002/amp2.10099","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45318815","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 10

Survivability-aware design and optimization of distributed supply chain networks in the post COVID-19 era 后COVID-19时代分布式供应链网络的可生存性设计和优化

Journal of advanced manufacturing and processing Pub Date : 2021-06-11 DOI: 10.1002/amp2.10098

Spyridon D. Tsolas, M. M. Faruque Hasan

{"title":"Survivability-aware design and optimization of distributed supply chain networks in the post COVID-19 era","authors":"Spyridon D. Tsolas, M. M. Faruque Hasan","doi":"10.1002/amp2.10098","DOIUrl":"10.1002/amp2.10098","url":null,"abstract":"Pandemic-induced lockdowns, restrictions on commercial activities, and natural disasters can disrupt a supply chain for prolonged time periods. These disruptions significantly impact the consumer demands, which in turn affect the capacity and profitability of a supply chain network. Economic survivability is the ability to maintain a net positive economic worth, or at least keeping it above a certain threshold, in the presence of sudden and prolonged disruptions that drastically reduce the product demands, prices, resource availability, or others. We address the economic survivability of geographically distributed interconnected networks under demand disruptions. We formulate and incorporate the necessary conditions for ensuring economic survivability in supply chain design. The overall problem is formulated as a mixed-integer nonlinear program (MINLP). Increasing the economic survivability in general also increases the return-on-investment (ROI) and profitability. However, for multi-regional, distributed and interdependent supply chains, a more balanced distribution of investment portfolio is important to improve the local survivability of each region, but it comes at the expense of overall or global profitability. We also observe that the economic survivability is negatively impacted by over-designing a supply chain to meet excess demands (typically from spot markets). Decision-makers should balance the trade-offs between survivability and excess demand satisfaction by thoroughly assessing the probability of positive and negative demand fluctuations.","PeriodicalId":87290,"journal":{"name":"Journal of advanced manufacturing and processing","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-06-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1002/amp2.10098","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47599321","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 5

A process intensification synthesis framework for the design of extractive separation systems with material selection 具有材料选择的萃取分离系统设计的过程强化综合框架

Journal of advanced manufacturing and processing Pub Date : 2021-06-05 DOI: 10.1002/amp2.10097

Yuhe Tian, Efstratios N. Pistikopoulos

{"title":"A process intensification synthesis framework for the design of extractive separation systems with material selection","authors":"Yuhe Tian, Efstratios N. Pistikopoulos","doi":"10.1002/amp2.10097","DOIUrl":"https://doi.org/10.1002/amp2.10097","url":null,"abstract":"In this work, we present a systematic approach for solvent selection and process intensification synthesis based on the Generalized Modular Representation Framework (GMF). GMF is a bottom-up process synthesis strategy which leverages mass and/or heat transfer building blocks to represent chemical equipment and flowsheets. Thus, conventional and/or intensified process solutions can be generated to obtain optimal process design(s) without a pre-postulation of equipment or flowsheet configurations. To address the challenge of module dimensionality estimation for capital cost correlation, orthogonal collocation is coupled to enhance GMF intra-module representation. Material selection is achieved by incorporating physical property models (e.g., NRTL) in GMF model formulation to describe the nonideal liquid mixture behaviors and to assess solvent performance in facilitating separation. In this context, solvent selection and process intensification synthesis are simultaneously addressed within a superstructure-based optimization formulation. The proposed approach is demonstrated on two case studies for ethanol-water extractive separation, with two sets of solvents evaluated: (a) ethylene glycol versus methanol to obtain 99 mol% ethanol, and (b) ethylene glycol versus 1-ethyl-3-methyl-imidazolium acetate ([EMIM][OAc]) to obtain 99.8 mol% ethanol and 99 mol% water.","PeriodicalId":87290,"journal":{"name":"Journal of advanced manufacturing and processing","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-06-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1002/amp2.10097","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"72140150","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 2

Economic risk analysis for the capture of a distributed energy resource using modular chemical process intensification 利用模块化化学过程强化捕获分布式能源的经济风险分析

Journal of advanced manufacturing and processing Pub Date : 2021-05-06 DOI: 10.1002/amp2.10096

Arvind Shankar Raman, Karl R. Haapala, James T. O'Connor, Brian K. Paul

{"title":"Economic risk analysis for the capture of a distributed energy resource using modular chemical process intensification","authors":"Arvind Shankar Raman, Karl R. Haapala, James T. O'Connor, Brian K. Paul","doi":"10.1002/amp2.10096","DOIUrl":"https://doi.org/10.1002/amp2.10096","url":null,"abstract":"Recent advances in the chemical process industry have allowed for the intensification of reactors and unit operations, by enhancing heat and mass transfer or combining multiple unit operations. Process intensification can enable chemical plants to be constructed in a more compact, modular fashion, offering improvements over conventional on-site approaches to capital construction, operations and maintenance. This modular chemical process intensification (MCPI) offers several benefits over conventional stick-built (CSB) plant construction in terms of reduced footprint, reduced energy consumption, lower cost, less waste and improved safety and quality control. However, acceptance of MCPI over CSB construction practices within the chemical industry can be impeded by the uncertain risks associated with investing in new technology. The work here documents a case study during the development of a modular chemical plant for capturing distributed energy resources within chemical production. This MCPI approach to plant construction is contrasted with a CSB approach for producing the same chemical product. Data collection tools were developed, based on a literature review, and data was collected from the technology developer to understand the process technology. Sensitivity analysis was then conducted to analyze the business rationale for the application of MCPI over CSB across several market scenarios. It was found that MCPI would be better suited for capacities up to 150 000 metric tons per year, but that improvement in payback period was needed. Additionally, for MCPI approach to achieve acceptable payback periods, efforts are needed to reduce the cost of capital equipment and compress the schedule for ramping up modular production.","PeriodicalId":87290,"journal":{"name":"Journal of advanced manufacturing and processing","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-05-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1002/amp2.10096","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"72152406","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

The IDAES process modeling framework and model library—Flexibility for process simulation and optimization IDAES过程建模框架和模型库——过程模拟和优化的灵活性

Journal of advanced manufacturing and processing Pub Date : 2021-04-29 DOI: 10.1002/amp2.10095

Andrew Lee, Jaffer H. Ghouse, John C. Eslick, Carl D. Laird, John D. Siirola, Miguel A. Zamarripa, Dan Gunter, John H. Shinn, Alexander W. Dowling, Debangsu Bhattacharyya, Lorenz T. Biegler, Anthony P. Burgard, David C. Miller

{"title":"The IDAES process modeling framework and model library—Flexibility for process simulation and optimization","authors":"Andrew Lee, Jaffer H. Ghouse, John C. Eslick, Carl D. Laird, John D. Siirola, Miguel A. Zamarripa, Dan Gunter, John H. Shinn, Alexander W. Dowling, Debangsu Bhattacharyya, Lorenz T. Biegler, Anthony P. Burgard, David C. Miller","doi":"10.1002/amp2.10095","DOIUrl":"https://doi.org/10.1002/amp2.10095","url":null,"abstract":"Energy systems and manufacturing processes of the 21st century are becoming increasingly dynamic and interconnected, which require new capabilities to effectively model and optimize their design and operations. Such next generation computational tools must leverage state-of-the-art techniques in optimization and be able to rapidly incorporate new advances. To address these requirements, we have developed the Institute for the Design of Advanced Energy Systems (IDAES) Integrated Platform, which builds on the strengths of both process simulators (model libraries) and algebraic modeling languages (advanced solvers). This paper specifically presents the IDAES Core Modeling Framework (IDAES-CMF), along with a case study demonstrating the application of the framework to solve process optimization problems. Capabilities provided by this framework include a flexible, modifiable, open-source platform for optimization of process flowsheets utilizing state-of-the-art solvers and solution techniques, fully open and extensible libraries of dynamic unit operations models and thermophysical property models, and integrated support for superstructure-based conceptual design and optimization under uncertainty.","PeriodicalId":87290,"journal":{"name":"Journal of advanced manufacturing and processing","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-04-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1002/amp2.10095","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"72168630","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 26

The role of process intensification in the current business context of the chemical process industry 流程强化在当前化工行业商业环境中的作用

Journal of advanced manufacturing and processing Pub Date : 2021-04-15 DOI: 10.1002/amp2.10086

Jinu Joseph John, Jean Paul Gueneau de Mussy, Simon Kuhn, Tom Van Gerven

{"title":"The role of process intensification in the current business context of the chemical process industry","authors":"Jinu Joseph John, Jean Paul Gueneau de Mussy, Simon Kuhn, Tom Van Gerven","doi":"10.1002/amp2.10086","DOIUrl":"https://doi.org/10.1002/amp2.10086","url":null,"abstract":"There is always a discord between the academia and the industry on what is need-to-have and nice-to-have in terms of novel chemical processes and technologies. The International Process Intensification Conference (IPIC) was organized to hear both sides and to help bridge the knowledge gaps on either side in order to bring about a well-informed cohesive understanding into where the field of process intensification (PI) should be headed. This perspective is written to publicize the findings and conclusions of the Industrial Day workshop during IPIC 2019 to give an insight into what drives the current business context of the chemical process industry, the role of PI to realize these driving factors and the challenges involved in implementing these intensified solutions. Four of the promising PI fields - continuous manufacturing, alternative energy sources, 3D printing and multifunctional processes - were also discussed among a group of experts from the respective fields to identify essential knowledge gaps, their role in the current business context and the challenges involved in commercializing these technologies.","PeriodicalId":87290,"journal":{"name":"Journal of advanced manufacturing and processing","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-04-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1002/amp2.10086","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"72171467","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

Design of ethylene oxide production process based on adaptive design of experiments and Bayesian optimization 基于实验自适应设计和贝叶斯优化的环氧乙烷生产工艺设计

Journal of advanced manufacturing and processing Pub Date : 2021-04-06 DOI: 10.1002/amp2.10085

Ryo Iwama, Hiromasa Kaneko

引用次数: 0

Maximizing returns from enterprise manufacturing intelligence and multivariate statistical process control 最大化企业制造智能和多元统计过程控制的回报

Journal of advanced manufacturing and processing Pub Date : 2021-04-06 DOI: 10.1002/amp2.10083

Mary Beth Seasholtz, Ryan Crowley, Alix Schmidt, Anna Zink

引用次数: 0

Optimization of the cycle time of robotics resistance spot welding for automotive applications 汽车应用机器人电阻点焊循环时间的优化

Journal of advanced manufacturing and processing Pub Date : 2021-04-03 DOI: 10.1002/amp2.10084

Harish Kumar Banga, Parveen Kalra, Raman Kumar, Sunpreet Singh, Catalin I. Pruncu

{"title":"Optimization of the cycle time of robotics resistance spot welding for automotive applications","authors":"Harish Kumar Banga, Parveen Kalra, Raman Kumar, Sunpreet Singh, Catalin I. Pruncu","doi":"10.1002/amp2.10084","DOIUrl":"10.1002/amp2.10084","url":null,"abstract":"In the automobile manufacturing industry, resistance spot welding (RSW) is widely used, especially to build the car's body. The RSW is a standard and wide-ranging joining technique in several assembling ventures, showing a wide range of possibilities for a competent procedure. Robots are commonly used for spot welding in various industrial applications. After completing assembling design, interest increases to improve the designed processes, cost-reduction, environmental impact, and increase time productivity when all is said to be done. In this paper, the robot movement between two welding points, a path followed while spotting, gripping and payload-carrying activities, numbers of holds, moves, and a possibility to enhance interaction between four Robots were analyzed using an offline Robot simulation software “DELMIA-V5.” The body shop assembly line of the SML ISUZU plant has four robots that perform about 209 welding spots in 532 s. The optimal model reduced the whole welding cycle time by 68 s, and after modification and proper sequencing, a12.7% reduction in cycle time was achieved. The offline Robot simulation software “DELMIA-V5” has good potential to produce optimal algorithms while saving precious time. It enables an organization to promote higher quality and to encourage meaningful creativity by reducing design flaws.","PeriodicalId":87290,"journal":{"name":"Journal of advanced manufacturing and processing","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-04-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1002/amp2.10084","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44853360","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 22

Welcome to the second issue of the third volume of the Journal of Advanced Manufacturing and Processing 欢迎收看《先进制造与加工杂志》第三卷第二期

Journal of advanced manufacturing and processing Pub Date : 2021-03-30 DOI: 10.1002/amp2.10082

Matthew J. Realff, Jan Lerou, Mike Rinker

引用次数: 0