Computer aided inspection procedures to support smart manufacturing of injection moulded components

This work presents Reverse Engineering and Computer Aided technologies to improve the inspection of injection moulded electro-mechanical parts. Through a strong integration and automation of these methods, tolerance analysis, acquisition tool-path optimization and data management are performed. The core of the procedure concerns the automation of the data measure originally developed through voxel-based segmentation. This paper discusses the overall framework and its integration made according to Smart Manufacturing requirements. The experimental set-up, now in operative conditions at ABB SACE, is composed of a laser scanner installed on a CMM machine able to measure components with lengths in the range of 5÷250 mm, (b) a tool path optimization procedure and (c) a data management both developed as CAD-based applications

Review of research in feature-based design

Research in feature-based design is reviewed. Feature-based design is regarded as a key factor towards CAD/CAPP integration from a process planning point of view. From a design point of view, feature-based design offers possibilities for supporting the design process better than current CAD systems do. The evolution of feature definitions is briefly discussed. Features and their role in the design process and as representatives of design-objects and design-object knowledge are discussed. The main research issues related to feature-based design are outlined. These are: feature representation, features and tolerances, feature validation, multiple viewpoints towards features, features and standardization, and features and languages. An overview of some academic feature-based design systems is provided. Future research issues in feature-based design are outlined. The conclusion is that feature-based design is still in its infancy, and that more research is needed for a better support of the design process and better integration with manufacturing, although major advances have already been made

A collaborative platform for integrating and optimising Computational Fluid Dynamics analysis requests

A Virtual Integration Platform (VIP) is described which provides support for the integration of Computer-Aided Design (CAD) and Computational Fluid Dynamics (CFD) analysis tools into an environment that supports the use of these tools in a distributed collaborative manner. The VIP has evolved through previous EU research conducted within the VRShips-ROPAX 2000 (VRShips) project and the current version discussed here was developed predominantly within the VIRTUE project but also within the SAFEDOR project. The VIP is described with respect to the support it provides to designers and analysts in coordinating and optimising CFD analysis requests. Two case studies are provided that illustrate the application of the VIP within HSVA: the use of a panel code for the evaluation of geometry variations in order to improve propeller efficiency; and, the use of a dedicated maritime RANS code (FreSCo) to improve the wake distribution for the VIRTUE tanker. A discussion is included detailing the background, application and results from the use of the VIP within these two case studies as well as how the platform was of benefit during the development and a consideration of how it can benefit HSVA in the future

Integration of magnetic amplifier switch model into computer aided design for power converters

Зазвичай у джерелах вторинного електроживлення (ДВЕЖ) комутаційну та регулюючу функції виконують напівпровідникові компоненти. Однак вони не можуть забезпечити високу якість вихідних характеристик у багатоканальних джерелах живлення та в ДВЕЖ із високим рівнем струму навантаження. В таких випадках як силові ключі використовують високочастотні магнітні підсилювачі (ВМП) на основі аморфних магнітом’яких сплавів з прямокутною петлею гістерезису. Розроблення перетворювачів електроенергії на основі ВМП не є повністю автоматизованим. ВМП є магнітним компонентом з нелінійними властивостями. Системи автоматизованого проектування (САПР) для комп’ютерного імітаційного моделювання електричних кіл не призначені для розрахунків магнітних полів та працюють з дискретними електричними компонентами. Існує проблема інтеграції моделі компонента з магнітним гістерезисом у бібліотеку моделей САПР. Крім того, досить складно оцінити оптимальні параметри такого компонента. У статті запропоновано нову математичну модель силового ключа на основі ВМП, що ґрунтується на функції, яку можна генерувати з допомогою цифрових технологій. Досліджено цифровий генератор синуса, що складається з цифрових дискретних компнентів для моделювання силового ключа на основі ВМП. Запропоновану математичну модель силового ключа на основі ВМП інтегровано у САПР. Проведено комп’ютерне імітаційне моделювання електричного кола, що містить ВМП. Розраховано абсолютну похибку та середньоквадратичне відхилення моделі процесів перемагнічення ВМП у порівнянні з експериментально отриманими даними. Така часткова автоматизація процесу розроблення високочастотних перетворювачів електроенергії на основі ВМП суттєво зменшить його складність, тривалість і вартість, а також сприятиме розвиткові нових схемотехнічних рішень.The designing of electrical power converters based on Magnetic Amplifier (MagAmp) switches is not fully automated. MagAmp is a magnetic component with nonlinear properties. Computer aided design (CAD) programmes are built to simulate electric circuits without electromagnetic field with distributed components. There is a problem of integration of a model of a component with magnetic hysteresis into the set of CAD models. In addition, estimation of the optimal parameters of such a component is rather complicated. The article proposes a new model of MagAmp switch which is based on a function that can be generated using digital technology. The digital generator of sinusoidal signals, consisting of discrete digital components for modeling the MagAmp switch, is investigated. Integration of the model into CAD programme and simulation of the electric circuit, which includes MagAmp switch, are obtained. Partial automation will reduce complexity, duration and cost of the design procedure, and will enhance the development of power converters

Geometric Modeling of Cellular Materials for Additive Manufacturing in Biomedical Field: A Review

Advances in additive manufacturing technologies facilitate the fabrication of cellular materials that have tailored functional characteristics. The application of solid freeform fabrication techniques is especially exploited in designing scaffolds for tissue engineering. In this review, firstly, a classification of cellular materials from a geometric point of view is proposed; then, the main approaches on geometric modeling of cellular materials are discussed. Finally, an investigation on porous scaffolds fabricated by additive manufacturing technologies is pointed out. Perspectives in geometric modeling of scaffolds for tissue engineering are also proposed

Feasibility study of an Integrated Program for Aerospace vehicle Design (IPAD) Volume 7: IPAD benefits and impact

The potential benefits, impact and spinoff of IPAD technology are described. The benefits are projected from a flowtime and labor cost analysis of the design process and a study of the flowtime and labor cost savings being experienced with existing integrated systems. Benefits in terms of designer productivity, company effectiveness, and IPAD as a national resource are developed. A description is given of the potential impact of information handling as an IPAD technology, upon task and organization structure and people who use IPAD. Spinoff of IPAD technology to nonaerospace industries is discussed. The results of a personal survey made of aerospace, nonaerospace, government and university sources are given

Learning-based ship design optimization approach

With the development of computer applications in ship design, optimization, as a powerful approach, has been widely used in the design and analysis process. However, the running time, which often varies from several weeks to months in the current computing environment, has been a bottleneck problem for optimization applications, particularly in the structural design of ships. To speed up the optimization process and adjust the complex design environment, ship designers usually rely on their personal experience to assist the design work. However, traditional experience, which largely depends on the designer’s personal skills, often makes the design quality very sensitive to the experience and decreases the robustness of the final design. This paper proposes a new machine-learning-based ship design optimization approach, which uses machine learning as an effective tool to give direction to optimization and improves the adaptability of optimization to the dynamic design environment. The natural human learning process is introduced into the optimization procedure to improve the efficiency of the algorithm. Q-learning, as an approach of reinforcement learning, is utilized to realize the learning function in the optimization process. The multi-objective particle swarm optimization method, multiagent system, and CAE software are used to build an integrated optimization system. A bulk carrier structural design optimization was performed as a case study to evaluate the suitability of this method for real-world application