1,721,905 research outputs found
Manufacturing Integrated Algorithm-Based Product Design – Case Study of a Snap-Fit Fastening
AbstractIntegrated product design in manufacturing aims to comprehensively tap manufacturing potential for higher durability, lightweight design and additional functional benefits in the realized product. This paper introduces an approach for systematically integrating manufacturing induced properties into product design and is illustrated with a case study of an innovative snap-fit fastening integrated into a linear flow split profile structure. After analyzing and comprehensively considering manufacturing processes as well as assembly and use processes, product properties are transformed into a formalized design task. Optimal product design is provided by algorithm-based solution finding methods that specifically consider the manufacturing induced properties. This allows the optimized snap-fit to systematically utilize manufacturing technologies to combine a simple assembly and high holding forces
Iteration-based Performance Measurement in the Fuzzy Front End of PDPs
AbstractIterations are an inherent phenomenon in product development processes (PDPs), especially in its fuzzy front end (FFE), and a crucial concept in coached ideation workshops. Small- and Medium-sized Enterprises (SMEs) perceive such workshops as promising means for developing new products and enhancing their innovation capability. This raises the research questions of (1) “how to measure the performance of PDPs in its FFE?” and (2) “Which role do iterations play for the performance measurement of PDPs in its FFE?” Based on expert-interviews after each iteration in 14 workshops, we compare the approaches of (1) statement coding and (2) direct ratings according to a reflection guideline. By correlating the data with the workshop outcome, we identify the guideline as powerful means for quantifying the PDP performance in its FFE
Combining Additive Manufacturing with Advanced Composites for Highly Integrated Robotic Structures
AbstractThe combination of additive manufacturing with advanced composites offers potentials in the development of highly integrated lightweight structures. This paper investigates a novel manufacturing process route where binder jetting is used to produce a water soluble sand core for hand layup of autoclave prepreg composites. The novel approach is applied to a hollow high performance robotic part demonstrating the following two design potentials: First, binder jetting of water soluble sand material is a suitable technology for the production of very complex composite parts at low tooling costs. Second, tailored load introduction elements made of selective laser melting enable lightweight designs. Weight savings of 54.3% compared to a state-of-the-art aluminum robotic part indicate that the approach is competitive for complex low volume parts
Multilevel Design Education for Innovation Competencies
AbstractThe competencies to manage an engineering project, work in and lead a team are demanded from a graduate of a higher engineering education. A design education model, consisting of of two linked courses, is presented that allows students to learn key engineering and social competencies by experiencing real situations. During the course “Innovation Project” (IP) approx. 450 freshman solve a development task in a team (creating a mechatronic system). The course “Leading Engineering Projects and Coaching Design Teams” educates IP student coaches in team dynamics and how to coach an innovation team. The aim of this paper is to present the recent development of the educational model. In this paper we focus on the IP course. The team climate curves are analysed and the qualitative data describing the turning points in the team climate curves is used to derive critical competencies for the IP teams. Four different competency clusters were found. The results show that not only technical skills are learned in this course but even more so multidisciplinary skills. The influence of the coaches for competency development is ongoing research and will be evaluated in further research. The results underline the need for educational approaches that focus on technical skills as well as multidisciplinary skills. The education model prepares the students well for their future design challenges
Enabling servitization by retrofitting legacy equipment for Industry 4.0 applications: Benefits and barriers for OEMs
In the wake of industry 4.0, many industries have started to pivot towards digital, collaborative, and smart manufacturing systems by connecting their machinery as part of the Internet of Things (IoT). IoT has the potential to provide visibility and improve manufacturing systems through data collection, analysis, and subsequent actions based on insights generated from large amounts of manufacturing data. Even though comparatively newer equipment come readily equipped with embedded sensors and industrial connectivity necessary to connect to the IoT environment, there are many manufacturers (equipment users) who rely on long standing “legacy systems” that offer no or very limited connectivity. In this context, solutions mostly result in the development of low-cost retrofit or upgrade kits that allow integrating legacy equipment into Industry 4.0 environment and thus enable digital servitization. Servitization is a transformation journey that involves firms developing the capabilities they need to provide technical and data-driven services that supplement traditional product offerings. However, retrofitting solutions of legacy equipment rarely involve Original Equipment Manufacturers (OEMs) who may otherwise leverage the opportunity to create and capture unique value by retrofitting and then provisioning data-driven value-added services for the manufacturers. Hence, the primary objective of this paper is to identify and analyze the available literature on retrofitting and upgrading of the legacy equipment for Industry 4.0 integration. In doing so, this study also investigates the potential opportunities and challenges of OEMs in supporting the Industry 4.0 transition of legacy equipment in a servitization context
Design Library Solution Patterns in SysML for Concept Design and Simulation
AbstractObject-oriented models in the Systems Modeling Language (SysML) are developed in this paper to support the concept development phase within engineering design. Generic libraries in SysML for functions, according to the functional basis, and structural components, are presented in previous work by the authors. This paper extends this work and proposes the use of multi-solution patterns in SysML that combine a new behavior simulation library together with the previous generic libraries describing functions and components. These patterns capture coherent solutions to known problems that can be reused in concept design with the aim to save modeling effort. Since they are based on solution-neutral functions, they also offer multiple potential solutions at once. The new behavior simulation library and solution patterns are demonstrated in this paper using a 3D printer case study with two different kinematic solutions
Going Beyond Counting First Authors in Author Co-citation Analysis
The present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
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