The Experience Transfer Model for New Technologies - Application on Design for Additive Manufacturing

Leutenecker-Twelsiek, Bastian; Ferchow, Julian; Klahn, Christoph; Meboldt, Mirko

doi:10.1007/978-3-319-66866-6_32

Cited by 5 publications

(4 citation statements)

References 13 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The design processes carried out by the experience transfer method enable the synthesis and use of academic and practice oriented sectoral knowledge. The production, materials, finance, and result-oriented approach of the design practice, combined with the research, analysis, development, and processoriented approach of academic education, enables students to learn new experiences before they even experience professional life (Leutenecker-Twelsiek, Ferchow, Klahn & Meboldt, 2018). As a result, design students are prepared to business life.…”

Section: Transferring Experience and Design Education Methodsmentioning

confidence: 99%

Transferring Experience in Industrial Design Studio Education

Bodur¹,

AKBULUT²

2022

JDS

View full text Add to dashboard Cite

Design studio courses are the basis of industrial design education. The product design projects carried out by academic and private sector experienced full-time and part-time instructors are shaped inline with the domain and experience of the lecturers. Assessment criteria may also change with the content of each product design project implemented. Instructors convey the values and approaches they consider to the students through the teaching methods they prefer throughout the process. In the industrial design studio education, where teaching takes place through experience transfer, different types of experience and knowledge are brought together by instructors and students collaboratively throughout the process. Within the scope of the study, the different approaches of the full-time and parttime instructors in the project development processes in the product design studios were examined through the professional domains and experiences of the instructors in Turkey. In order to do so, a survey was conducted with both parties. The collected data were analysed with the Chi-Square Independence test, and significant relationships were determined between the experiences, teaching methods, and design process approach of full-time and part-time instructors carrying out the product design studio. Participants’ opinions about design techniques, design assessments and shortcomings of education were listed in the table and the distributions of the answers were shown. In this direction, evaluations and suggestions regarding the transfer of experience in product design education have been shared.

show abstract

Section: Transferring Experience and Design Education Methodsmentioning

confidence: 99%

Transferring Experience in Industrial Design Studio Education

Bodur¹,

AKBULUT²

2022

JDS

View full text Add to dashboard Cite

show abstract

“…This introduction included selection criteria (Klahn et al , 2014; Leutenecker et al , 2015), KPI-based filtering and value clusters (Fontana et al , 2018a). A template was distributed to collect the key facts and figures of AM candidates in a standardized format (Leutenecker-Twelsiek et al , 2017). The template asked participants to rate their idea in the four dimensions of the selection criteria.…”

Section: Validationmentioning

confidence: 99%

Mapping value clusters of additive manufacturing on design strategies to support part identification and selection

Klahn

Fontana

Leutenecker-Twelsiek

et al. 2020

RPJ

Self Cite

View full text Add to dashboard Cite

Purpose Additive manufacturing (AM) allows companies to create additional value in the processes of new product development and order fulfillment. One of the challenges for engineers is to identify suitable parts and applications for additive manufacturing. The purpose of this paper is to investigate the relation between value creation and the design process. The implications of this relation provide an orientation on the methods for identifying parts and applications for additive manufacturing. Design/methodology/approach Mapping the value clusters of AM on design strategies allows determining the expected degree of change in design. A classification into major and minor design changes is introduced to describe the predictability of the impact of AM on past performance and business model. The ability to predict the future properties of an AM part determines the suitability of identification and selection methods from literature. The mapping is validated by an identification process that creates a shortlist of potential AM parts based on the strategic decision for a value cluster. Shortlisted parts are then evaluated based on the criteria technology readiness, required post-processing, customer benefit and manufacturer benefit. Findings The mapping of value clusters on expected design changes determines the type of selection process. For minor design changes, automated part identification serves as a powerful tool while major design changes require the judgment of skilled engineers. Research limitations/implications The mapping of value clusters to design strategies and degree of change in design is based on empirical observations and conclusions. The mapping has been validated in an industrial context in different identification and selection processes. Nevertheless the versatility of AM and industrial environments impede a universal validity of high-level concepts. Practical implications This value-driven process of identification and selection was applied in technology transfer projects and proved to be useful for AM novices and experts. The mapping supports the identification and selection process, as well as the general product development process by providing an indication of the design effort for implementing AM. Originality/value The novel mapping links the economic domain of value creation to the engineering domain of design strategies to provide guidance in the selection of economically and technically suitable parts for additive manufacturing.

show abstract

“…[2] Despite the abundance of information available on additive manufacturing, it remains crucial to establish dependable researchbased knowledge to ensure that learning of the technology is built upon accurate information right from the start avoiding any misconceptions. [3] According to Ernst & Young [4], the need for more experts/professionals for AM is the second most significant obstacle to implementing AM, the first being the high cost of the machines. The reports highlight a considerable need for AM training at the EU level to bridge the gap between AM progress and the knowledge of experts and students.…”

Section: Introductionmentioning

confidence: 99%

Virtual Reality-Based Training in Additive Manufacturing: Developing a Service Concept that Adapts to Company-Specific Requirements

Huusko,

Susi,

Parchegani

et al. 2023

IOP Conf. Ser.: Mater. Sci. Eng.

View full text Add to dashboard Cite

Additive manufacturing (AM), commonly known as 3D printing, has vast amount of technological opportunities, but it also necessitates specialized expertise among its specialists, adopters, users etc. As AM continues to demonstrate its potential and has high growth rates in fields of its use, applications, systems etc., the importance of AM education and training becomes increasingly evident. This paper serves as a preliminary study outlining a novel training concept for industrial AM training including microlearning units and conducted in virtual reality, focusing on the accessibility and flexibility of users. The concept has been developed as part of the ongoing industrial training project. Microlearning and virtual tool-assisted training methods offer effective and agile approaches to enhance the continuous learning of new industrial skills, enabling companies to keep pace with evolving technologies. These tools facilitate extensive customization of training, making company-specific training even more crucial for effective skill development and knowledge transfer. The design of this training concept leverages the user story mapping (USM) method, enabling a deeper understanding of company-specific requirements and needs concerning additive manufacturing training. Moreover, through questionnaires and interviews conducted during the USM process helps identify technology readiness levels (TRLs) of companies in relation to their AM adoption. Measuring TRLs provides valuable insights into the technical maturity of companies regarding additive manufacturing, as readiness levels tend to vary significantly among different organizations. The preliminary framework provided serves as a foundation for designing a modern training concept that cater to the unique requirements of different companies, fostering their successful adoption of AM technologies.

show abstract

The Experience Transfer Model for New Technologies - Application on Design for Additive Manufacturing

Cited by 5 publications

References 13 publications

Transferring Experience in Industrial Design Studio Education

Transferring Experience in Industrial Design Studio Education

Mapping value clusters of additive manufacturing on design strategies to support part identification and selection

Virtual Reality-Based Training in Additive Manufacturing: Developing a Service Concept that Adapts to Company-Specific Requirements

Contact Info

Product

Resources

About