Documentation must be focused toward explaining a specific task such as design process, by conveying the needs of product engineering, materials engineering, and manufacturing. This article describes how documentation supports the process of bringing a product to market, who uses the information, and how it serves as a key form of communication, with examples. It discusses the key features that most documents must define. The article describes the requirements of engineering and manufacturing and how drawings are used as a communication medium.

Additive manufacturing (AM) provides exceptional design flexibility, enabling the manufacture of parts with shapes and functions not viable with traditional manufacturing processes. The two paradigms aiming to leverage computational methods to design AM parts imbuing the design-for-additive-manufacturing (DFAM) principles are design optimization (DO) and simulation-driven design (SDD). In line with the adoption of AM processes by industry and extensive research efforts in the research community, this article focuses on powder-bed fusion for metal AM and material extrusion for polymer AM. It includes detailed sections on SDD and DO as well as three case studies on the adoption of SDD, DO, and artificial-intelligence-based DFAM in real-life engineering applications, highlighting the benefits of these methods for the wider adoption of AM in the manufacturing industry.

This article discusses the advantages of polymer matrix composite for automotive application in terms of design drivers, noise, vibration, harshness efficiency, process materials property constraints, safety and reliability, design optimization, structural and appearance requirements, recyclability, and processability. It describes the properties of high-volume composites used in automotive industries. The article provides a discussion on state-of-the-art and developing technologies in automotive field.

The most effective design teams generally involve a clearly delineated group of individuals who work full time on the specified project from its beginning until market introduction. This article focuses on issues arising in using teams in a product design process. It provides special coverage on alternative roles for specialists, such as materials engineers or scientists, whose expertise is essential to the success of the project. The article discusses the types of teams exhibiting certain characteristics in the sales, accounting, and research departments and from the factory floor to the executive suite. The special characteristics of cross-functional development teams are discussed. The article reviews the staffing of a development team, including team leader, team members, and suppliers on the team. It describes the considerations for organizing a development team, and the role of development team specialists on balancing team needs.

Data formats play an integral role in leveraging the flexibility of additive manufacturing and achieving consistent part quality. This article compares and contrasts data formats optimized for design, materials, processes, and inspection methods. It also discusses the types of data associated with the six phases of additive manufacturing, namely design, build, design with build plan, design with machine-specific build plan, post-processed part, and qualified part.

This article is a compilation of terms related to analysis and prevention of engineering failures.

This article focuses on two streams of the research on part consolidation (PC): PC in the conventional manufacturing context, and PC in the additive manufacturing (AM) context. It reviews the challenges of applying AM-PC potentials. The article includes research literature on the selection of part candidates for consolidation and summarizes the conversion of assembly design to consolidated design. Then, a holistic approach for supporting PC design is introduced with integrated modules of part filtering and fusion of parts. Details of the key techniques of the two modules are later introduced with a gas pedal example. Finally, emerging trends in PC research are discussed.

To improve the performance of additive manufacturing (AM) systems, a critical need exists for collaborative generation, acquisition, curation, and analysis of digital AM data across the product life cycle. This article discusses the history, development, and potential benefits of the AM Common Data Dictionary (AM-CDD), along with future directions.

This glossary is a compilation of terms related to the analysis and prevention of component and equipment failures. It is intended to help promote clear thinking and useful failure analysis. The definitions presented are those used in this Volume and reflect a common and modern understanding of these terms as used in the literature and in reports by practicing failure analysts.

This article is a compilation of terms and definitions related to failure analysis and prevention. This glossary is intended to help promote clear thinking and useful failure analysis. The definitions presented are those used in this volume and reflect common and modern understanding of these terms as used in the literature and in reports by practicing failure analysts.

This article discusses the various categories of nontraditional machining processes that are subdivided according to the form of energy being harnessed. These include mechanical, electrical, thermal, and chemical methods.

This article details findability, accessibility, interoperability, and reusability (FAIR) additive manufacturing data management principles and examines related motivations, benefits, and challenges. It explains opportunities to advance the state of the AM community efforts in fostering FAIR data management practices/principles and outlines the consequence of such efforts on technology maturation and industrialization for AM technologies.

This article provides assistance to a failure analyst in broadening the initial scope of the investigation of a physical engineering failure in order to identify the root cause of a problem. The engineering design process, including task clarification, conceptual design, embodiment design, and detail design, is reviewed. The article discusses the design process at the personal and project levels but takes into consideration the effects of some higher level influences and interfaces often found to contribute to engineering failures.

The intent of this article is to assist the failure analyst in understanding the underlying engineering design process embodied in a failed component or system. It begins with a description of the mode of failure. This is followed by a section providing information on the root cause of failure. Next, the article discusses the steps involved in the engineering design process and explains the importance of considering the engineering design process. Information on failure modes and effects analysis is also provided. The article ends with a discussion on the consequence of management actions on failures.

This article aims to provide a basic understanding of the fundamental principles for additive manufacturing (AM) processes, and to give clear definitions for terms and nomenclature associated with AM technology.

Additive manufacturing, as the first fully digital manufacturing process, is critically dependent on data, including the input materials, the process parameters guiding the three-dimensional printing process execution, any postprocessing steps, and any inspections performed on the printed coupons and/or parts, to name just a few examples. This article presents the standards to enable findable, accessible, interoperable, and reusable (FAIR) data. It then discusses three main types of data models that are used to capture different levels of detail and granularity of data: conceptual, logical, and physical. Different approaches and techniques with their own strengths and weaknesses are developed to model data. Four of the major types of data models include hierarchical, relational, object-oriented, and network/graph-based. The article also presents the evolution of data management approaches. It then describes the characteristics of effective logical data models.

Efforts in improving the efficiency of automated equipment lead to combining automatic joining equipment with a modem computer technique eventually known as artificial intelligence (intelligent automation) that usually includes an off-line planning system and a real-time adaptive control system connected through a computer communications interface. This article focuses on the application of intelligent automation system to arc welding, called WELDEXCELL, and other joining processes. An outline of the interface between off-line planners and real-time control systems is also provided.

This article discusses the various roles and responsibilities of materials engineers in a product realization organization and suggests different ways in which materials engineers may benefit their organization. It also provides a summary of the concepts discussed in the articles under the Section “The Role of the Materials Engineer in Design” in ASM Handbook, Volume 20: Materials Selection and Design.

This article discusses Allenby's two streams for environmental aspects of design: generic and specific concerns. Generic concerns include guidelines that provide the structure in which specific techniques can be developed and used. Specific methods are environmentally responsible for design and specific information that engineers can use. These methods include life cycle assessment, environmental impact assessment, quality function deployment, design for “X”, failure modes and effects analysis, and design for disassembly.