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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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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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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...

引用

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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High-Fidelity Simulation and Validation of Transient Operation of Model Francis Turbine 14th

High-Fidelity Simulation and Validation of Transient Operati...

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14th International Conference on Computational Heat and Mass Transfer (ICCHMT)

作者： Masoodi, Faiz Azhar Goyal, Rahul Indian Inst Technol Dept Energy Sci & Engn Delhi 110016 India

ISBN: (纸本)9783031666087;9783031666094

The contemporary global energy mix and its evolution mandate off-design and transient operation of hydraulic turbines to stabilize the variable renewable energy-related power fluctuation in the electric grid. This work numerically investigates a transient operational sequence from high load to best efficiency point in a model high head Francis turbine. The dynamic meshing technique in OpenFOAMv2012 software is used to morph the mesh around guide vanes as they close to reach the best efficiency point. Shear stress transport-Scale adaptive simulations based approach is implemented to achieve turbulence closure. In view of the mesh and flow complexity, the simulation is run in parallel mode on a high-performance computing cluster, decomposed over 320 computing cores, consuming a wall time of 9 days. Axial, radial and tangential velocity fields at high load are determined. Evolution of axial velocity over time is tracked to achieve a complete flow characterization across the transition to best efficiency point operation. High load operation is a typical off-design condition characterized by the occurrence of vortex breakdown phenomenon in the draft tube cone. An enlarged vortex core with a centrally stagnated flow wrapped by a well-sped outflow is seen. An intermittent flow reversal, more pronounced at upstream locations, is also present along the axis of conical diffuser. As load rejection procedure commences, the disorganized velocity field presenting a wake-like axial velocity profile at high load condition gradually gives way to a non-defective jet-like flow at best efficiency point.

关键词： Hydropower Francis turbine Draft tube diffuser CFD Flow instability Vortex breakdown

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Digital Twin Application for Vision Control in the Production of Mechatronic Ladders 1

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8th International Scientific-Technical Conference (MANUFACTURING)

作者： Cieslak, Slawomir Zawadzki, Przemyslaw Gapsa, Jakub Metalkas SA Nowotorunska 40 PL-85840 Bydgoszcz Poland Poznan Univ Tech Fac Mech Engn Piotrowo 3 PL-60965 Poznan Poland

ISBN: (数字)9783031564673

ISBN: (纸本)9783031564697;9783031564673

One of the fastest-developing technologies currently in the field of broadly understood production engineering is the "Digital Twin technology". In general, it is related to the development and use of a digital equivalent of a given process, system, or object to conduct various types of data analyses or simulations. This technology is based on the creation of a virtual (digital) model that reproduces real products, machines, or entire processes (including production), enabling the simulation of various scenarios or the prediction and conduct of tests without the need to conduct them on a physical object. This work presents the concept of construction and tests of the Digital Twin application, developed for the vision inspection process during the automated production of innovative mechatronic ladders. The application was prepared in the Unity environment, enabling user interaction in two modes: desktop and VR.

关键词： Digital Twin application Digital factory Unity engine VR system

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Analysis on the Effect of Energy Density on mechanical Properties of Selective Laser Sintering Processed Polyamide-12 32nd

Analysis on the Effect of Energy Density on Mechanical Prope...

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32nd International Conference on Flexible Automation and Intelligent Manufacturing

作者： Karmiris-Obratanski, P. Papazoglou, E. L. Karkalos, N. E. Markopoulos, A. P. AGH Univ Sci & Technol Mickiewicza 30 PL-30059 Krakow Poland Natl Tech Univ Athens Heroon Polytech 9 GR-15780 Athens Greece

ISBN: (纸本)9783031382406;9783031382413

Additive manufacturing (AM) is now considered a reasonable alternative for fabricating polymer parts with sufficient strength, dimensional accuracy and surface quality, able to be used in demanding engineering applications. Selective Laser Sintering (SLS) is one of the most popular AM techniques for polymers able to produce complex geometries with acceptable quality. However, in order to meet the necessary requirements, process parameters need to be controlled. Thus, in the present study the effect of Volumetric Energy Density (VED) on mechanical properties of Polyamide-12 (PA12) specimens is investigated with a view to determine the necessary conditions for improved strength of produced parts. After comprehensive analysis of the results via statistical methods was carried out, it was found that increased VED leads generally to improved mechanical properties and that in most cases regarding Young's Modulus and Ultimate Tensile Strength (UTS) laser power causes even higher mechanical properties, suggesting that concerning the mechanical properties the most preferable combination of process parameters is the 26 W laser power and 0.9 J/mm(3) VED. On the other hand, the in-between VEDs of 0.5 and 0.7 J/mm(3) tend to have lower Coefficient of Variation implying a higher degree of repeatability for the process.

关键词： Selective Laser Sintering Polyamide Specimens Volumetric Energy Density mechanical Properties

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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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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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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 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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