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Optimizing profiled ring preforms for enhanced deformation uniformity using the isothermal field method

THIN-WALLED STRUCTURES 2024年 202卷

作者： Han, Yan Wang, Menghan He, Yu Zheng, Yuanyuan Li, Xin Chongqing Univ Sch Mat Sci & Engn Chongqing 400030 Peoples R China AVIC Guizhou ANDA Aviat Forging Co Ltd Anshun 561000 Peoples R China

One of the main challenges faced by the profiled ring rolling (PRR) process is to ensure the deformation uniformity of the ring, which is closely related to the design of the ring preform. The paper explores the application of the isothermal field method (IFM) in designing preforms for PRR processes, targeting the aerospace sector's high-end equipment manufacturing. through the integration of advanced computational models and practical design principles, a comprehensive approach involving IFM, finite element simulation, support vector machine modeling, and genetic algorithm optimization is employed to determine the geometric dimensions of rational preforms. The material flow behavior during the PRR process is analyzed, and the effects of different isotherms combinations on strain, stress and temperature distribution are discussed. The findings demonstrate that adjusting the preform's shape during the section forming stage can optimize the uniformity of strain, stress, and temperature within the forging. The stable ring rolling process revealed no macroscopic or microscopic defects, validating the design method of ring preform based on IFM is reasonable. The research contributes to advancing near-net shape forming technologies, offering a novel approach to preform design that marries theoretical analysis with practical manufacturability considerations.

关键词： Profiled ring rolling (PRR) Isothermal field method (IFM) Ring preform design Deformation uniformity

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Pre-AI and post-AI design: Balancing human Creativity and AI Tools in the Industrial design process 24

Pre-AI and post-AI design: Balancing human Creativity and AI...

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2024 International conference on Artificial Intelligence and Future Education, AIFE 2024

作者： Tang, Xilin Windham, Jerrod Bush, Benjamin School of Industrial and Graphic Design Auburn University AuburnAL United States

ISBN: (纸本)9798400710650

The advancement of Artificial Intelligence (AI) is reshaping industrial design by enhancing creativity and productivity. This study explores the integration of AI tools-specifically ChatGPT, DALL·E, Midjourney, and Vizcom-into the industrial design process and attempts to apply them in undergraduate industrial design education. By emphasizing the distinction between Pre-AI (divergent phase) and Post-AI (convergent phase) design stages, based on the design Council's Double Diamond model, the impact of AI-Assisted methods on creativity and the design process is examined. through two case studies involving a Golf Cart Project and a Conceptual Car Project, we analyze the balance between human creativity and AI technology to enhance innovation while maintaining the essential role of human judgment (design decision). The findings offer preliminary insights for transforming design education and practice, highlighting the importance of foundational design skills in the era of AI. © 2024 Copyright held by the owner/author(s).

关键词： design for manufacturability

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IMVR: ENABLING IMMERSIVE design EXPLORATION AND process integration FOR ADDITIVE MANUFACTURING OF COMPLEX ORGANIC GEOMETRIES 19

IMVR: ENABLING IMMERSIVE DESIGN EXPLORATION AND PROCESS INTE...

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ASME 19th International Manufacturing Science and Engineering conference (MSEC) held jointly with the 52nd North American Research conference (NAMRC)

作者： Aryall, Manish Raj Deshpandel, Sourabh Aurisano, Jillian Anand, Sam Univ Cincinnati Ctr Global Design & Mfg Dept Mech & Mat Engn Cincinnati OH 45221 USA Univ Cincinnati Smart Mfg Lab Digital Futures Cincinnati OH 45206 USA Univ Cincinnati Dept Comp Sci DaVInCi Lab Cincinnati OH 45221 USA

ISBN: (纸本)9780791888100

Evaluating and representing intricate design, simulation, and process outcomes for organic geometries can present limitations on traditional computing devices (computers, phones, and tablets) and remains a formidable challenge. This deficit in recognizing critical manufacturability concerns may result in several design revisions and iterations. Virtual Reality (VR) presents a compelling alternative to conventional 3D environments, particularly when visualizing and analyzing complex organic geometries during the part design and manufacturing stages. Our work focuses on developing an immersive virtual environment (ImVR) to evaluate and visualize design and process parameters for additive manufacturing of complex shapes. We create visualization-centric designs that empower users to render surface and volume-based part models for design exploration to identify and evaluate design for Additive Manufacturing (DfAM) features. These visualization-centric designs emphasize and enhance the detection of these DfAM features through corresponding visualized part models or through color plots shown to highlight these features. Further, we optimize the build using a genetic algorithm to formulate the best build orientation tailored to DfAM features. We create all the visualization-centric models for the different build orientations found optimally to showcase the impact of optimizing one DfAM feature on other corresponding parameters. On the process side, we implement a Digital Twin to visualize, control, and modify parameters in an FDM 3D printing process. The digital twin model mimics the real-time operation of the 3D printer, showing the generated print layer-by-layer. Bayesian Network, a predictive modeling algorithm, provides the recommended parameters for modifying the printing process. These modifications pertain to optimizing the ultimate tensile strength of the part model by varying bed temperature, speed, and layer height. Two case studies on complex geometries - a Topol

关键词： Virtual Reality ChatGPT Digital Twin Immersive Visualization process Optimization Visualization Toolkit design for Additive Manufacturing (DfAM)

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INCLUSION OF manufacturability CONSIDERATIONS ON design OPTIMIZATION OF A COMPOSITE ROTOR BLADE

INCLUSION OF MANUFACTURABILITY CONSIDERATIONS ON DESIGN OPTI...

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ASME 2024 International Mechanical Engineering Congress and Exposition, IMECE 2024

作者： Wall, Emily S. Haehnel, Robert B. Sharma, Gehendra S. Dalton, Larry McCall, Tonya G. Dettwiller, Ian Huberty, Wayne Center for Advanced Vehicular Systems Mississippi State University StarkvilleMS United States US Army Engineer Research and Development Center HanoverNH United States Institute for Systems Engineering Research Mississippi State University StarkvilleMS United States Center for Advanced Vehicular Systems Extension Mississippi State University CantonMS United States US Army Engineer Research and Development Center VicksburgMS United States Advanced Composites Institute Mississippi State University StarkvilleMS United States

ISBN: (纸本)9780791888599

The optimization of rotor blade aerodynamic and structural design is pivotal for enhancing overall rotorcraft performance in terms of, e.g., reduced power requirements and energy consumption, and increased range and cargo capacity. Use of composite blades are increasing attractive owing to improved fatigue characteristic, reparability, etc., however, not all proposed composite structure designs are practical to manufacture. This research effort explores the intricate relationship between composite blade design and manufacturability, the potential utility of optimization software (e.g., iVABS) to improve the overall manufacturability of a given structural design. Integrated VABS (iVABS) is a software tool developed to aid in the design optimization of composite slender structures. design parameters can be defined in iVABS to control various aspects of the internal structure such as spar web spacing, web curvature, number of plies, fiber orientation, and materials, many of which have a direct effect on the overall manufacturability of the blade. The team delves into the critical aspects of manufacturability that directly influence the manufacturing process. The overarching goal is to establish rules that will guide a manufacturability assessment that can be integrated into the initial design phase, guiding iVABS towards creating rotor blade designs that not only meet stress, strain and aerodynamic requirements, but are also inherently more manufacturable. The integration of manufacturability considerations into the optimization process, as demonstrated by these efforts, represents a proactive approach to ensuring that optimal structural designs align with the capabilities and constraints of the given manufacturability processes, thereby streamlining the manufacturing process. The research includes the consideration of the manufacturability constraints that could be applied to the identified design parameters and demonstrates how this can be applied via a case study sh

关键词： design for manufacturability

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design of a High Jitter Harmonic Injected Ring Oscillator for Entropy Sources

Design of a High Jitter Harmonic Injected Ring Oscillator fo...

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2024 IEEE International conference on Integrated Circuits, Technologies and Applications, ICTA 2024

作者： Ye, Ziyang Ikeda, Makoto University of Tokyo Tokyo Japan

ISBN: (纸本)9798331530709

in the field of modern cryptography and-information security, the generation of random numbers is crucial, with the quality of the entropy source being paramount. This study explores the design of Ring Oscillator (RO)-based entropy sources, noted for their high manufacturability and ease of integration. However, the jitter produced by naive ROs is insufficient for high-quality entropy. We propose a design that significantly enhances jitter performance through the introduction of a harmonic injection path. This approach maintains high synthesizability while incurring only modest increases in area and power consumption. Experimental results demonstrate that the modified RO,fa bricated using a 180 nm process, elevated the average min-entropy from 0.058 / bit to 0.351/bit, offering new insights and substantial support for the development of high-quality random number generators. © 2024 IEEE.

关键词： Random number generation

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Co-design of Structural Timber Components through Automated Model Generation for Manufacturing Simulation of Reconfigurable Manufacturing Systems 29

Co-Design of Structural Timber Components through Automated ...

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29th International conference on Mechatronics and Machine Vision in Practice (M2VIP)

作者： Kaiser, Benjamin Verl, Alexander Univ Stuttgart Inst Control Engn Machine Tools & Mfg Units Stuttgart Germany

ISBN: (纸本)9798350325621

Manufacturing of products with high variability and small batch sizes, such as prefabricated timber building components, presents significant manufacturing challenges. In urban areas, the construction industry's relatively low productivity, coupled with rising demand for affordable housing and irregularly shaped spaces, calls for novel and innovative construction technologies. The method of computational design shows promise as a solution, allowing unique, optimized structures composed of individual components, departing from conventional modular construction. Automated prefabrication of these building components enhances construction productivity. Reconfigurable manufacturing systems offer a practical solution for addressing building component variations and changing project requirements, requiring frequent system reconfiguration. The co-design process concurrently optimizes building components and manufacturing systems to ensure manufacturability and structural optimization through iterative design, validated by simulation. However, manual simulation implementation and validation for component manufacturability is time-consuming and error-prone, especially considering the numerous iterations and layout variants involved in the co-design process. This paper proposes a method for automatically generating and conducting simulations to check the manufacturability of building elements to enable co-design. The proposed method uses AutomationML as a modeling language for describing the manufacturing system and building components. We conduct several simulations with parametrically generated timber shell elements to validate the proposed method.

关键词： Iterative methods

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integration of Structural Analysis and Manufacturing process Planning for Global Optimization with Automated Fiber Placement

Integration of Structural Analysis and Manufacturing Process...

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SAMPE 2024 conference and Exhibition

作者： Noevere, August Jamora, Von Harik, Ramy Collier Research Corporation Newport NewsVA23606 United States University of South Carolina ColumbiaSC29208 United States

ISBN: (纸本)9781934551455

design of mass-efficient composite structures intended for Automated Fiber Placement (AFP) requires close interaction between structural analysis and manufacturing process planning. Tools exist for each of these disciplines, but software interplay has been insufficient for rapid and efficient design iteration. Within the NASA Advanced Composites Consortium (ACC), the design for Manufacturing (DFM) task has made significant progress towards linking these disciplines and respective software – HyperX (design), CAPP (process planning), and VCP (tool path generation). The initial focus in previous work was on data exchange between disciplines. The ability to both export and consume composite design and manufacturing data to and from each tool. This paper focuses on the effort to automate and streamline the connection between the tools listed above, with the goal of being able to automatically generate a composite AFP design that is mass-efficient and manufacturable. The optimization method being pursued is a bi-level approach, where each tool performs optimization within its discipline. The optimization in HyperX is focused on mass and laminate strength, while CAPP is focused on maximizing manufacturability. VCP is used to generate fiber paths for each design iteration. These sub-processes are wrapped with a global level optimization, driven by HyperX, used to converge the design. This paper describes the current state of this effort, which is a completed HyperX-VCP iteration loop and initial work on the HyperX-CAPP iteration loop. Additionally, example results are shown for a wind blade structure with double curvature. © 2024 Soc. for the Advancement of Material and process Engineering. All rights reserved.

关键词： design for manufacturability

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Automated IC design Flow Using Open-Source Tools and 180 nm PDK 67

Automated IC Design Flow Using Open-Source Tools and 180 nm ...

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67th IEEE International Midwest Symposium on Circuits and Systems (MWSCAS)

作者： Jaramillo-Toral, Uriel Carlos Garcia-Lopez, Juan Ortega-Cisneros, S. Isaac Baungarten-Leon, Emilio Tones-Gonzalez, Cristian Sandoval-Ibarra, F. CINVESTAV GDL Zapopan Jalisco Mexico

ISBN: (纸本)9798350387186;9798350387179

This paper presents an academic project leveraging open-source tools, particularly OpenLane, in conjunction with the 180 nm process design Kit (PDK) provided by GlobalFoundries, for automating Integrated Circuit (IC) design, specifically digital design. This methodology significantly reduces the time and resources required to achieve high-quality functional ICs. The successful integration of GlobalFoundries' PDK ensures manufacturability. This work aims to inspire the digital design community to explore the potential of open-source tools and promote more accessible solutions in IC manufacturing. Two digital projects were designed, manufactured, and tested: a clock divider and a 7-segment display decoder. Experimental results show that the circuits operate at frequencies lower than 50MHz with a 3.3V bias.

关键词： Digital design design automation Open-source tools IC manufacturing

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A New Era of DFM Solution for Yield Enhancement Using Machine Learning (ML) 3

A New Era of DFM Solution for Yield Enhancement Using Machin...

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conference on DTCO and Computational Patterning III

作者： Kim, Namjae Kang, Jae-Hyun Jung, SangWoo Jang, DeaHyun Kim, ByungMoo Jeon, JoongWon Ku, Ja-Hum Madkour, Kareem Kwan, Joe SAMSUNG Elect Co Ltd Hwaseong Si Gyeonggi Do South Korea Siemens EDA Cairo Egypt Siemens EDA Fremont CA USA

ISBN: (纸本)9781510672154;9781510672147

The yield of the deep sub-micron semiconductor is secured by the process capability as well as the yield-friendly design capability. Yield-friendly design capabilities can be equipped with conventional design for manufacturability (DFM) that avoids already known defective layouts in design. Previously known defects can be defined as various rules and avoided in design, but defects that may occur at new technology nodes are difficult to avoid in advance. Indiscreetly defect-avoidance designs cause turn TAT increases and Power/Performance/Area (PPA) overheads in the design, which can ultimately lead to increased design costs and poor design competitiveness. The first step of this study is to predict potential risks and to specify major factor of risks that may occur at new process nodes with new DFM solutions developed using Machine Learning (ML) techniques. The second step is to secure early yield through avoidance design to prevent predicted defects and direct mask modification to improve defects. In this study, we present not only the introduction of new ML-based DFM solutions, but also the effect of predicting and improving defects through the application cases of real products.

关键词： DFM DTCO Yield Enhancement ML process Predictor Massive CD

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A process design Method for Multichip Module using Model Based Definition 23

A Process Design Method for Multichip Module using Model Bas...

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23rd International conference on Electronic Packaging Technology (ICEPT)

作者： Li, Yang Wu, Yilong Chen, Chunmei Zhang, Yanming Hou, Qifeng Zeng, Ce 29th Res Inst CETC Dept Microwave Integrat Ctr Chengdu Peoples R China

ISBN: (数字)9781665499057

ISBN: (纸本)9781665499057

Benefit from high performance, high integration density, high heat dissipation and relatively low cost, the application of MCM (multichip module) has spread from military, aerospace and mainframe computers to electronic system products such as automobiles, communications, industrial devices, instruments and medical equipment. However, unlike chip design or PCB design, there is no mature design method for MCM based on model. 2D drawing-based design software, such as AutoCAD, are still using for MCM design. Thus, the design file doesn't include sufficient manufacturing data for process design, such as manufacturability check and process flow design. In order to improve the actual efficiency and accuracy of the process design, a method based on model-based definition was approved. This method is applied in Allegro SiP Layout design platform and realized by secondary development using SKILL command language. through this method, a 3D model of MCM, which contains geometric dimension, cross-section of substrate, bill of materials (BOM), die type, bond wire and other definitive manufacturing data, is designed. With this model, an assembly manufacturability check, which evaluates the manufacturability and producibility of design model, can be applied along with designing. Then, a process flow design scheme, which includes the allocation of BOM, is generated using this design model. According to the test results of process design of MCM, this method was benefit for reducing design error, reducing reliance on manual experience, improving the automation of process design, and resulted in faster feedback loops, better decisions, and faster-to-market products.

关键词： process design Multichip module Model-based definition

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