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The Influence of Ecolabel: Insights from the Indonesian Bioplastics Packaging Industry Stakeholders 32nd

The Influence of Ecolabel: Insights from the Indonesian Biop...

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32nd International Conference on Flexible Automation and Intelligent Manufacturing

作者： Baskoro, M. Lahandi Tjahjono, Benny Bogush, Anna Beltran, Macarena Syaifullah, Danu Tjahjono, Michelle Coventry Univ Coventry W Midlands England Cranfield Univ Bedford England

ISBN: (纸本)9783031381645;9783031381652

Despite the potential environmental benefits of bioplastics, consumers remain confused regarding this innovative packaging material. One possible solution to mitigate these concerns is to introduce ecolabels to communicate this bioplastics material. This study aims to investigate the influence of ecolabel signals and other factors on the adoption and proper disposal of bioplastics packaging among consumers in Indonesia, as seen from the perspective of stakeholders in the bioplastics industry. Signaling theory is utilized as a theoretical lens to build a conceptual model to observe this phenomenon. A total of 17 case studies were collected from stakeholders in various sectors, including production, consumption, waste management, and academia. The findings reveal that while ecolabels can play a role in shaping consumer behavior towards bioplastic packaging, they cannot be the sole determining factor. Other factors such as packaging price, pro-environmental attitude, habitual practice, and access to appropriate waste management facilities also significantly influence consumer adoption and proper disposal of bioplastics. The study contributes as one of the earliest research efforts in this area. Furthermore, the study addresses gaps in bioplastics consumer communication research by highlighting the effect of ecolabels.

关键词： Sustainable packaging Visual communication Consumer behavior Solid waste management Developing country

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Lean Green Methodologies and Circular Economy: A Case Study 33rd

Lean Green Methodologies and Circular Economy: A Case Study

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33rd International Conference on Flexible Automation and Intelligent Manufacturing

作者： Pereira, Maria Teresa da Silva, Catarina Gomes Lellis Moreira, Miguel Angelo Oliveira, Marisa Pinto, Viviana Correia Polytech Univ Porto Porto Sch Engn ISEP P-4200072 Porto Portugal Associate Lab Energy Transports & Aerosp LAETA IN P-4200465 Porto Portugal Fluminense Fed Univ BR-24210346 Rio De Janeiro Brazil

ISBN: (纸本)9783031744815;9783031744822

Implementing Lean Green methodologies in the circular economy optimises companies' and industries' environmental and economic performance. This study investigates how Lean Green can support or hinder the implementation and sustainability of the Circular Economy in organisations. The study aims to explore the concepts of Lean Green and Circular Economy and their relationship and integration for mutual benefit. Subsequently, a case study is carried out to develop a roadmap of Lean Green and Circular Economy tools, presenting a methodology for developing a roadmap to improve an Industrial Wastewater Treatment Plant. Throughout the process, various environmental problems and impacts associated with the treatment plant operation were identified, ranging from energy consumption to the use of chemicals and waste management. To address these challenges, concrete actions based on Circular Economy and Lean Green principles were proposed, promoting the reduction of volatile organic compound emissions, the incorporation of waste into production processes, among others.

关键词： Lean Green Circular Economy Sustainability

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Laser Pulse Shape Effect on a Laser Shock-Peened Turbine Blade 10th

Laser Pulse Shape Effect on a Laser Shock-Peened Turbine Bla...

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10th International Conference on Design and Modeling of mechanical Systems (CMSM)

作者： Ayeb, Manel Frija, Mounir Fathallah, Raouf Univ Sousse Inst Appl Sci & Technol Sousse ISSATSo Sousse Tunisia Univ Sfax Natl Engn Sch Sfax ENIS Unit Mech & Mat Prod Engn UGPMM UR17ES43 Sfax Tunisia Univ Sousse Natl Engn Sch Sousse ENISo Sousse Tunisia

ISBN: (纸本)9783031650062;9783031650079

As an innovative surface treatment technique, laser shock processing is used extensively to improve the resistance of metallic workpieces to corrosion, fatigue and wear, particularly in spite of the residual compressive stresses that are generated. The purpose of this paper is to study the geometric shape effect of the laser impact on a turbine blade's thin leading edge. A 3D finite element simulation of Ti-6Al-4V thin leading-edge specimens is performed by means of ABAQUS software. Its main objective consists in studying and comparing the mechanical modifications of the surface generated by circular and square laser spots: the compressive residual stresses, the plastic deformations and the damage.

关键词： Laser processing Square spots Circular spots Finite element analysis Very thin leading edge

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An Operating System for Cloud Manufacturing (OSCM) 32nd

An Operating System for Cloud Manufacturing (OSCM)

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32nd International Conference on Flexible Automation and Intelligent Manufacturing

作者： Santamaira, Ricardo Toro Ferreira, Placid M. Univ Illinois Urbana IL 61820 USA

ISBN: (纸本)9783031381645;9783031381652

Factory technologies have evolved to incorporate a great deal of manufacturing flexibility. Programmable automation in the form of Computer Numerical Control (CNC) and (Programmable Logic Control (PLC) coupled with hardware and process innovations (quick-change tooling, for example) enable a high level of shop-floor flexibility. Possibly, the most inflexible part of a factory is the manufacturing information system. In this paper, we develop an approach to a flexible and extendible architecture for shopfloor information systems. The Operating System for Cloud Manufacturing (OSCM) is a full-stack, distributed platform that tracks and facilitates the interaction between manufacturing jobs and resources (physical machines, humans or software apps). It uses an event-based architecture and a message exchange/broker to enable flexible and configurable distribution of to capture, distribute, curate and store information about shop floor events. The event-based architecture makes it easy to provide context to data emanating from the shop floor, while the message broker gives it flexibility, scalability and extendibility. This paper describes the architecture of the operating system and its services. Further, it demonstrates how shop-floor data can be flexibly routed to manufacturing apps that need it before drawing up conclusions.

关键词： Cloud Manufacturing Industry 4.0

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Enhancing Object Detection Performance for Small Objects Through Synthetic Data Generation and Proportional Class-Balancing Technique: A Comparative Study in Industrial Scenarios 1st

Enhancing Object Detection Performance for Small Objects Thr...

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1st European Symposium on Artificial Intelligence in Manufacturing (ESAIM)

作者： Antony, Jibinraj Hegiste, Vinit Nazeri, Ali Tavakoli, Hooman Walunj, Snehal Plociennik, Christiane Ruskowski, Martin German Res Ctr Artificial Intelligence DFKI Kaiserslautern Germany Rheinland Pfalzische Tech Univ RPTU Kaiserslauter Kaiserslautern Germany

ISBN: (纸本)9783031574955;9783031574962

Object Detection (OD) has proven to be a significant computer vision method in extracting localized class information and has multiple applications in the industry. Although many of the state-of-the-art (SOTA) OD models perform well on medium and large sized objects, they seem to under perform on small objects. In most of the industrial use cases, it is difficult to collect and annotate data for small objects, as it is time-consuming and prone to human errors. Additionally, those datasets are likely to be unbalanced and often result in an inefficient model convergence. To tackle this challenge, this study presents a novel approach that injects additional data points to improve the performance of the OD models. Using synthetic data generation, the difficulties in data collection and annotations for small object data points can be minimized and to create a dataset with balanced distribution. This paper discusses the effects of a simple proportional class-balancing technique, to enable better anchor matching of the OD models. A comparison was carried out on the performances of the SOTA OD models: YOLOv5, YOLOv7 and SSD, for combinations of real and synthetic datasets within an industrial use case.

关键词： Small Object Detection Class Balancing Synthetic Data Generation YOLOv7 YOLOv5 SSD

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Efficient Tolerance for mechanical Assemblies with Interrelated Dimension Chains in a Circular Economy Perspective 10th

Efficient Tolerance for Mechanical Assemblies with Interrela...

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10th International Conference on Design and Modeling of mechanical Systems (CMSM)

作者： Ghali, Maroua Elghali, Sami Aifaoui, Nizar Univ Monastir Natl Sch Engineers Monastir LGM ENIM Lab Mech Engn 5 Ave Ibn Eljazzar Monastir 5019 Tunisia Univ Sousse Natl Engn Sch Sousse ENISO Sousse 4045 Tunisia Univ Haute Alsace Mulhouse Univ Inst Technol IUT 61 Rue Albert Camus F-68200 Mulhouse France

ISBN: (纸本)9783031671517;9783031671524

Tolerancing is an important issue to boost the levels of circular economy such as the ecosystem. This study introduces a combined tolerance allocation optimization approach for mechanical assemblies with interrelated dimension chains. The proposed method is based on Genetic Algorithm (GA) and Difficulty Coefficients Computation (DCC) simultaneous. The proposed GA objective function is to minimize total cost constrained by the equations of functional requirements. These equations are the tolerance dimension chains considering difficulty coefficients. The computation of manufacturing difficulty is based on the Failure Mode, Effects and Criticality Analysis (FMECA) tool and Ishikawa diagram. The proposed optimization approach named (GADCC) is applied to mechanical assemblies with interrelated dimension chains taken from previous article and compared to their tolerance optimization methods. The suggested total cost comprises both the manufacturing cost and the cost associated with Taguchi quality loss. The analysis of obtained results demonstrates that the proposed approach leads to help the manufacturing of problematic dimensions by broadening their tolerances while respecting the functional requirements. Consequently, the defect rate of manufacturing parts is reduced. This is allowed to deduce that the GADCC model is an economic and efficient tool of tolerance allocation in a circular economy perspective.

关键词： Tolerance allocation Tolerance optimization Genetic algorithm Interrelated dimension chains Manufacturing difficulty Total cost model

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A Conceptual Framework for Automated Maintenance of a Reconfigurable Vibrating Screen Machine 33rd

A Conceptual Framework for Automated Maintenance of a Reconf...

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33rd International Conference on Flexible Automation and Intelligent Manufacturing

作者： Makinde, Olasumbo Univ Johannesburg ZA-2028 Johannesburg South Africa

ISBN: (纸本)9783031744815;9783031744822

Reconfigurable Vibrating Screen (RVS) machine is a beneficiation machine that could be used to screen varying quantity of mineral particle sizes demanded by the customer. Hence, effective maintenance of this machine when used in the surface mines for mineral particles beneficiation or when used for preconcentration in underground mines is vital to keep the machine functional and available during its product lifecycle. Therefore, automating the maintenance of the of the RVS machine when used in hazardous underground mines would improve maintenance performance time, eliminate maintenance error, and reduce exposure of a machine maintenance operator to hazardous undergroundwork environment. However, capturing the vital information required to perform varieties of maintenance tasks on the RVS machine, and thereafter developing automated maintenance platforms to execute these maintenance tasks is a very difficult exercise. In light of this, this paper proposes a conceptual framework that firstly capture and classify myriads of maintenance tasks to be performed on a RVS machine and thereafter unveil the conceptual design platforms for automating the RVS machine maintenance tasks.

关键词： Reconfigurable Vibrating Screen Maintenance Automation Mineral Beneficiation

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Experimental Investigation of Tsunami Bore Momentum Reduction Using Vegetation 1

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2022 International Association for Hydraulic Environmental engineering and Research Asia Pacific Division

作者： Harish, S. Jochems, B. Oetjen, Jan Schuettrumpf, Holger Sriram, V Sannasiraj, S. A. Indian Inst Technol Madras Dept Ocean Engn Chennai Tamil Nadu India Rhein Westfal TH Aachen Inst Hydraul Engn & Water Resources Management Aachen Germany

ISBN: (数字)9789819760091

ISBN: (纸本)9789819760084;9789819760091

During the 2004 Indian Ocean Tsunami and the 2011 Tohoku Tsunami, traditional embankments were observed to offer insufficient damage protection for coastal settlements. In addition, the endangerment of coastal forests further necessitates the synergistic inclusion of coastal vegetation as a coastal flood mitigation measure. Therefore, in the present experimental study, the suitability of coastal vegetation for tsunami force reduction, with a particular focus on shorefront buildings, is investigated. In the experiments, the vegetation model of variable width in the streamwise direction was investigated with varied Froude flow regimes and discharge conditions. Evaluations encompassed the flow-directional horizontal force on the building, the bore depth in front of the building and overturning moment on the building during the quasi-steady flow phase. The applied variations of vegetation widths led to reductions of the above-mentioned investigated quantities of - 1.15 to 37.79%, - 0.25 to 20.64% and- 3.89 to 40.61%, respectively. Furthermore, a set of empirical equations is proposed, estimating the reduction of force, moment, and bore depth at the structure front depending on the vegetation width and the Froude number. The provided insights emphasize the importance of coastal forests and support the development of design guidelines for buildings located behind natural tsunami defence systems.

关键词： Unsteady flow Tsunami force reduction Vegetation Vegetation thickness Soft measures

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Development of Depositions Strategies for Edge Repair Using a WAAM Process 7th

Development of Depositions Strategies for Edge Repair Using ...

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7th International Workshop on Autonomous Remanufacturing (IWAR)

作者： Baffa, Francesco Carvalho, Gustavo H. S. F. L. Venturini, Giuseppe Campatelli, Gianni Univ Firenze Dipartimento Ingn Ind Via Santa Marta 3 I-50139 Florence Italy

ISBN: (纸本)9783031526480;9783031526497

Remanufacturing is an industrial process which aims to restore a component to at least its original performance, and it is considered a key processes to support the transition to circular economy. For restoring a metal component, additive manufacturing processes based on Direct Energy Deposition (DED) techniques are the most widely used, because they can process a damaged part with a complex geometry. Among these, Wire Arc Additive Manufacturing (WAAM) has several advantages including a high deposition rate, lower operative, material, and equipment costs. Nevertheless, it is also characterized by low accuracy and a high risk of defects if the process is not tuned correctly. It is therefore crucial to develop effective deposition strategies to ensure defect-free deposition and high efficiency. This study focuses on the repair of edges of steel made components, and specific toolpaths has been designed and tested for repairing this geometrical features, both concave and convex, coupled with the selection of proper welding parameters and torch tilting angle.

关键词： Wire Arc Additive Manufacturing (WAAM) Circular economy Remanufacturing

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A Decoupling Control Scheme for Path Tracking with Model Predictive Path Integral and Output Regulator 16th

A Decoupling Control Scheme for Path Tracking with Model Pre...

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16th International Symposium on Advanced Vehicle Control

作者： Wan, Hang Liu, Hui Nie, Shida Han, Lijin Beijing Inst Technol Beijing 100081 Peoples R China

ISBN: (纸本)9783031703942;9783031703928;9783031703911

The coupling and nonlinearity of vehicle dynamics present considerable challenges to path tracking of autonomous vehicles. In this paper, a necessary condition is derived to decouple the translational motion from yawing motion based on the time-scale separation. Consequently, the translational motion is regulated over an extended control horizon to generate a human-like tracking trajectory. The yawing motion is regulated based on a high-fidelity control model. In addition, model predictive path integral (MPPI) is developed to mitigate the computational burden of nonlinear motion planning through sampling-based optimization. A predictive output regulator is developed to solve the underactuated problem in the 2-DOF lateral dynamics with only 1-DOF of control input. Simulation results show that the proposed method enhances computing efficiency and reduces the lateral jerk by an average of 50% with only one set of parameters.

关键词： Autonomous vehicle Decouple MPPI Underactuated control

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