Evaluation of Forming System Design

Technical analysis of intellectual property (IP) is conducted for the purpose of legal protection and product development. A brief review of the process of IP analysis and associated terminology is...

Computer aided engineering (CAE) simulation for the design optimization of gate system on high pressure die casting (HPDC) process

Computer-aided engineering (CAE) comprises several disciplines of computer application to engineering problems. From a systems analysis point of view, the different stages of the development of a new product may be mapped on to disciplines such as computer-aided design, computer-aided manufacturing, and others. These constituents of CAE are briefly discussed, with emphasis on the need for their integration. A short review of the development of CAE systems technology is also given. Present trends and needs for more research are indicated.

The research aims to integrate the two technologies of simultaneous engineering and the green target cost in providing an environmentally friendly product, because these two technologies are among the most important techniques that have emerged as a result of work strategies that change rapidly with market requirements and the essence of the modern production process, through the manufacture of products that meet the desires of customers in the shortest possible time and less cost. To achieve this goal, the General Company for Southern Cement was chosen as a research community and through one of its laboratories, represented by (Babylon Factory). The research reached several conclusions represented in the shift from the development of sequential products to the development of simultaneous products, which enables them to respond quickly by reducing the time required for products to enter the market and adapt to changing work environments, and following the techniques of simultaneous engineering and green target cost in product development is a shortcut The product design and development process. The most important recommendations are the need to direct modern technologies to serve the environment in view of the trend of global interest in the environment due to environmental pollution and the scarcity of natural resources, especially scarce ones.

The virtual engineer: 21st Century product development

In order to reduce product development (PD) costs and duration, PD cycles are being accelerated in order to reduce the time to market and satisfy the end customer needs. Another key challenge in PD today, is product diversification in the technologies used, requiring improved collaboration amongst local and dispersed multi disciple PD teams. A main stream tool that aids and support engineers in PD to collaborate and share information/knowledge is Product Lifecycle Management (PLM). This research explores the benefits and requirements of implementing a PLM system for a PD and manufacturing company within the automotive supply chain. This paper first provides a brief background of the subject area, followed by an explanation of the initial industrial investigation for the implementation of a PLM system, from which investigation the resulting conclusions and recommendations are presented as the building blocks of the implementation project.

Based on the theory of user needs and the product development mode and framework of mobile Internet interactive innovation, a new “reality → virtual → reality” interactive innovation product development mode is constructed. It draws on the unique characteristics, systematic technical system, and comprehensive scientific and technological layout of the Metaverse. On this basis, a framework for product development and design based on interactive innovation from the Metaverse perspective is innovatively proposed. In the Metaverse scenario, interactive innovation knowledge can be easily and effectively transformed into design knowledge, and all groups of users truly participate in the whole process of product design. Moreover, the development of interactive innovative products in the Metaverse scenario can be combined with artificial intelligence (AI) technology to further automate the statistical analysis of user needs and preferences so as to meet the dynamic needs of users and accurately develop products that fit user needs and enterprise standards. In addition, users, designers, and enterprises can make joint decisions on product design solutions and development forms, and the Metaverse technology can also optimize the products with continuous iteration and obtain the optimal solutions. An automotive case study illustrates the feasibility and effectiveness of the model for product development innovation and enterprise digital transformation.

Product development has become a focus of competition in many industries. Due to decreasing product life cycle, it is important to reduce the time and cost of product development. The product development process includes six main phases: product planning, concept development, system-level design, detailed design, testing and refinement, and production ramp-up [34]. Concept development process consists of four stages: identifying customer needs, establishing product specifications, and generating and selecting product concepts. Recent efforts have been made to improve the product development decisions [20], especially at the early stages of product development, since it has been recognized that nearly 75% of product life-cycle cost is committed by the end of concept development [26]. However, it is difficult to make product design decisions at the early development stages, because decision makers have to consider all life cycle issues [21, 22] with vague project information available.

New product performance through multifunctional teamwork: An analysis of the development process towards quality excellence

The Internet, Web, and Globalization are inducing new product development paradigms such as crowd sourcing, mass collaboration, and open innovation. Engineering, design, and manufacturing organizations who adopt these paradigms will need to address the product data integration problem because complex product data will be associated with these emerging product development paradigms in the socio-sphere. In particular, product data will be dispersed globally and will be encoded in many different formats. Moreover, mechanical, electrical, and software data for complex products are currently handled in separate product data management systems with no automated sharing of data between them or links between their data. This is a significant drawback with regard to supporting collaborative and integrated product design. Unfortunately, this drawback will become worse for platforms seeking to utilize product design in the socio-sphere. Consequently, advances in product data management will be needed in order for companies to fully realize the benefit of adopting such socio-sphere product development platforms. Semantic computing is one technological family well suited to solve a variety of the challenges associated with product development in the socio-sphere. As such, this chapter presents a theory of semantic association systems along with a description of its application to product data integration in the socio-sphere.

<div class="section abstract"><div class="htmlview paragraph">The Automotive industry’s use of digital technology such as Computer Aided Engineering (CAE) to perform virtual validation has progressed to effectively replace a large percentage of physical validation. This is primarily due to the increased accuracy and cost/time efficiencies that virtual validation offers compared to conventional physical prototyping and testing. With product development (PD) cycles becoming more compressed, CAE has assumed a more significant role in early, advanced design and structural evaluation. One of the areas where CAE is widely employed is in development of the Instrument Panel (IP) commonly referred to as the dashboard. For the purposes of this study, the term IP represents the plastic/polymer structure only, and not the full IP sub-system. The IP sub-system includes the structural member, the Cross Car Beam (CCB) assembly and all the IP mounted modules.</div><div class="htmlview paragraph">The primary objective of this exercise is to guide upfront IP design using a simplified representation of the IP sub-system. The CCB assembly is represented as a parametric, simplified and scalable beam model. This simplified CCB model can then be used to simulate the IP sub-system as soon as the studio “class A” surface data is available in conjunction with assumptions for the masses of key IP mounted modules. The exercise is expected to yield a reliable process to guide the IP design, for structural stiffness objectives, at early stages of the PD cycle. To prove the effectiveness of this process, it is implemented on several IPs from different vehicle classes, and the global frequencies of the resulting simplified models are compared to the fully contented, traditionally built models.</div></div>

Purpose – The purpose of this paper is to conceptualise and discuss the possible insights that can be generated for product development by analysing the user-generated content available from various social media platforms. Design/methodology/approach – The paper reviews the role of user generated content in developing products and its features (e.g. appearance and shape). It delineates the directions in which the relationship between social media content and customer oriented concepts evolve while developing successful new products. Findings – The review and arguments presented in this paper suggest that the social media approach adds more value than the traditional approaches for obtaining insights about the products. Availability of users’ opinions and information about existing products provide insights for the improvement in the product design process. Co-creation and self-construal are important components that are based on customer engagement and customer behaviour, respectively, in the product design and development. Practical implications – As social media creates new ways of communication with users, businesses can include users into the product development process to improve and refine their products or for making the next generation of products. Originality/value – This paper suggests a new approach in getting useful insights about the products from user-generated contents. This way of using social media helps businesses to move forward from the traditional product development paradigms.

The process of 3D animation production involves multi-role, multi-process collaboration, it is an urgent need to improve the development efficiency and quality of 3D animation product. Based on the in-depth analysis of main development process of 3D animation product, we research an instant collaborative development of 3D animation production, which supports information management of staff, enterprise instant messaging, visual management of fodders, project management, real-time tracking for task status, management and share of project development knowledge. Then, we present a system for instant collaborative development of 3D animation production, and analyze the key technology of the system implementation. The application of the system can foster the standardization of scientific management for 3D animation production, and also contribute to the accumulation and backup of creative fodder, as well as enhance the development efficiency and quality of the product.

Change control is considered as the prime power and obstruction of growth. During product research and development, it is difficult to avoid various engineering changes (ECs). Appropriate control of ECs can improve the design and quality of products. This study examines aerospace products from development to production over 17 years including 1180 cases of EC. We use statistical methods to analyze the central and dispersion tendency of the products research and development and then test it to find which key capability factors are important to EC. Some required ECs for a typical aerospace product development are investigated. In this study, key factors for aerospace products are classified into nine categories: Structure, subsystem, electrics, control, electronics, interface, manufacture, engine and others. The results show that the life cycle of electronic parts and time to implement ECs is four to seven years and the electronics manufacturer must improve risk management in product research and development stages to reduce engineering changes effectively. Further, a regression model is developed to recompose integrated planning for controlling the cost and scheduling. Thus, the communication of various designs and the control of ECs can be improved in the initial stages of product research and development.

Engineering design can be regarded as an iterative optimization process. This process is difficult because of two main problems: the first is that computer‐aided engineering (CAE) is time‐consuming in terms of evaluating design solutions, while the second is the high dimensionality of design solutions. In the research community, a surrogate model is proposed to deal with the first problem while an evolutionary algorithm is adopted for the second. In this work, we develop a new method with only sparse scattered data, which is very common in many practical scenarios. The surrogate model can also assign a penalty factor for the predicted value, and this penalty factor can be used as one of the targets of the evolutionary algorithm to balance global exploration and local exploit. We also adopt a new evolutionary strategy, which can search high‐dimensional space. Three groups of experiments are conducted to validate the proposed methods. The experimental results show that the surrogate model can predict performance and the corresponding penalty factor, the evolutionary strategy is better in terms of searching high‐dimensional space compared with other evolutionary strategies, and the whole method can generate new design solutions that are near to the known design solutions. The experimental results show that this method can be used in practical scenarios, especially where they only have sparse scattered data.