A bibliometric analysis of research in design for additive manufacturing

Purpose The purpose of this paper is to understand how Design for Additive manufacturing Knowledge has been developing and its significance to both academia and industry. Design/methodology/approach In this paper, the authors use a bibliometric approach to analyse publications from January 2010 to December 2020 to explore the subject areas, publication outlets, most active authors, geographical distribution of scholarly outputs, collaboration and co-citations at both institutional and geographical levels and outcomes from keywords analysis. Findings The findings reveal that most knowledge has been developed in DfAM methods, rules and guidelines. This may suggest that designers are trying to learn new ways of harnessing the freedom offered by AM. Furthermore, more knowledge is needed to understand how to tackle the inherent limitations of AM processes. Moreover, DfAM knowledge has thus far been developed mostly by authors in a small number of institutional and geographical clusters, potentially limiting diverse perspectives and synergies from international collaboration which are essential for global knowledge development, for improvement of the quality of DfAM research and for its wider dissemination. Originality/value A concise structure of DfAM knowledge areas upon which the bibliometric analysis was conducted has been developed. Furthermore, areas where research is concentrated and those that require further knowledge development are revealed.

SLASSY—An Assistance System for Performing Design for Manufacturing in Sheet-Bulk Metal Forming: Architecture and Self-Learning Aspects

Substantial efforts have been made to integrate manufacturing- and design-relevant knowledge into product development processes. A common approach is to provide the relevant knowledge to the design engineers using a knowledge-based system (KBS) that, in turn, becomes the engineering assistance system. Keeping the knowledge up to date is a critical issue, making knowledge acquisition a bottleneck of developing and maintaining KBS. This article presents a robust metamodel optimization and performance estimation architecture for developing and maintaining a KBS useful for design-for-manufacturing from the context of sheet-bulk metal forming. It is shown that the presented KBS or engineering assistance system helps achieve performing design-for-manufacturing, integrating both design and manufacturing knowledge. Using the presented approach helps overcome the bottleneck of knowledge acquisition and knowledge update through its self-learning component based on data mining and knowledge discovery.

Design of Knowledge Graph in Manufacturing Services Discovery

Knowledge graph networks powering web search and chatbot agents have shown immense popularity. This paper discusses the first steps towards building a knowledge graph for manufacturing services discoverability. Due to the lack of a unified widely adopted schema for structured data in the manufacturing services domain as well as the limitations of existing relational database schemas to represent manufacturing service definitions, there does not exist a unified schema that connects manufacturing resources service descriptions and actual manufacturing service business entities. This gap severely limits the automated discoverability of manufacturing service business organizations. This paper designs a knowledge graph covering over 8,000+ manufacturers, the manufacturing services they provide and corresponding linkage with manufacturing service definitions available from Wikidata. In addition, this work also proposes extensions to Schema.org to assist small business manufacturers to contain embedded search engine optimization (SEO) tags for search and discovery through web search engines. Such vocabulary extensions are critical to the rapid identification and real-time capability assessment particularly when the service providers themselves are responsible for updating tags. A wider scale enhancement of manufacturing specific vocabulary extensions to schema.org can tremendously benefit small and medium scale manufacturers. This paper concludes with the additional work that must be done for a comprehensive addition to manufacturing service graph that spans the entire manufacturing knowledge base.

Emissions from Metallic Powder and High Energy-Based Process – Thermal Spraying, Powder Atomization, and Additive Manufacturing – Knowledge Refresh

This paper addresses a need for information on nanoparticle emissions and related issues such as worker exposure, filtration efficiency, and dustiness. A survey has been conducted on the working conditions and safety measures used in thermal spray companies and the results compared to scientific literature and previous surveys. Responses to questions on matters of health and safety reveal a lack of information and awareness of the risks posed by the emissions of ultrafine particles generated by thermal spraying processes.

Crowdsourced Manufacturing Cyber Platform and Intelligent Cognitive Assistants for Delivery of Manufacturing as a Service: Review of Fundamental Issues and Outlook

Future cyber manufacturing is envisioned to be fulfilled in a crowdsourcing environment that will engage a large population of manufacturer crowds to collaborate with the cyber platform on a shared understanding of the tasks for delivering manufacturing as a service (MaaS). This review paper is motivated towards a symbiosis of crowdsourcing cyber platform technologies to enhance intelligent decision support to manufacturing planning for achieving MaaS operational goals. The paper reviews the fundamental issues of MaaS through crowdsourcing from a model-based systems engineering perspective that is in line with a systematic framework of platform-driven MaaS. Also discussed is the outlook of analytic and model-based approach for crowdsourced manufacturing in order to enable new cyber manufacturing capabilities that represent a significant transformation of the manufacturing sector. The vision is to facilitate transition from the current practice of focusing on automation and manufacturing informatics within individual enterprise to open manufacturing crowds throughout the cloud platform to fulfill MaaS. The cyber platform and intelligent cognitive assistants enhance MaaS fulfilment by adopting computational modeling and decision analytics to exploit the implicit design and manufacturing knowledge that is incorporated in the library of previously executed manufacturing tasks, which in turn facilitates generation of manufacturing process plans by parametric adjustment of process plans for similar tasks.

The Impact of Information Technology on Business Transformation in the Operating Telecommunications Companies in Jordan

The study aims at measuring the effects of information technology on the transformation of businesses in communication companies in Jordan. The study population consisted of companies' directors as well as their deputies, assistants, advisors, in addition to department managers and their assistants. The total number of the study subjects is 3 designated communication companies in Jordan; these are: Zain, Umniah, and Orange. To achieve the aim of the study, the researcher had prepared a questionnaire which comprises of 45 items covering the three factors of the independent variable (Information Technology): infrastructure, developmental environment, and executive support systems and applications, as well as the three factors of the dependent variable (Transformation of Businesses): operations, organization change, and workers' competence. In order to test the hypotheses, the following three criteria were adequately used: The Medians, the Standard Deviations, as well as the Regression Analysis. The study has reached a number of results; the most notable amongst these results is that there is a positive effect that is statistically significant of information technology on the elements of business transformation in Jordanian communication companies and all of their relating elements. The last decade of the twentieth century and the turn of twenty-first century witnessed significant progress in technology in general and information technology and communication in particular. Such progress still continues until today, accelerating with wide quick strides more than ever. This age has produced many mechanisms for manufacturing knowledge and more advanced technological means that have made the globe as a small village. Communication technology, which is represented by the internet, has played a huge rule in transferring information and technological revolution from the north to the south passing by the east and the west at the same time. All of that have had an impact on all political, economic, educational, teaching, social, media, and advertisement systems in all communities. The term technology is derived from Greek. It consists of two parts, techno, which means skills or art, and logy, which means science or study. Thus, the word technology means the science of performance, science of implementation, or the technical methods to achieve a practical purpose, the science of industrial operation.

Analysis of the mathematical correlation between post-sharped hob and worm gear tooth surface

The production geometry development of the worm gear drives with circle arched profile in axial section requires the combined management of complex mathematical, geometric and manufacturing knowledge. In this paper has been presented an analysis of the relation between the post-sharpening of the cylindrical hob with circle arched profile in axial section and gear tooth surface error according to the functions determined by previous research work, that fits to the Dudás type ProMAT general mathematical model, which is suitable for the analysis of technological processes in manufacturing. During the research the extension of this method to any type of worm gear drives has been aspired.