Showing papers in "Procedia CIRP in 2015"

TL;DR: In this article, a case study for designing smart machines through the 5C CPS architecture is presented, which includes necessary steps to fully integrate cyber-physical systems in the manufacturing industry.

TL;DR: In this article, the authors focus on the environmental collaboration, which has been seen as a key relational capability to facilitate the GSCM strategic formulation and execution, and propose a plausible conceptual model to elucidate the relationship between these three variables in the context of Malaysian manufacturing companies.

TL;DR: In this paper, the results of discussions inside the CIRP Collaborative Working Group (CWG) on Learning Factories enables a lively exchange on the topic of learning factories for future oriented research and education in manufacturing.

TL;DR: In this paper, the authors deal with the design of assembly stations, where human-robot collaborative tasks are carried out, based on the assembly process specifications, different control, safety and operator support strategies have to be implemented in order for the human safety and the overall system's productivity to be ensured.

TL;DR: In this article, a high performance titanium alloy was evaluated in the selective laser melting (SLM) process for aeronautical application, as well as the investigation of optimized process parameters and positioning strategies of the structures produced in the SLM machine.

TL;DR: In this article, the Delphi survey method was used to explore, identify and verify the drivers and barriers of green manufacturing practices by obtaining consensus from a panel of experts, who were required to answer questionnaires in three rounds.

TL;DR: The regional SMEs of the lock & key industry around the Campus Velbert/Heiligenhaus need further training in modern technologies enabling Industry 4.0 scenarios and methods to optimize their production themselves.

TL;DR: In this paper, the authors investigate service innovations driven by digitalization and CPS and their impact on the service ecosystem and identify affordances that effectively exploit the new technological capabilities in existing and future service scenarios.

TL;DR: In this paper, two sets of Johnson-Cook model parameters for Ti-6A-4V were evaluated, using three types of metal cutting models: Lagrangian, Arbitrary Eulerian-Lagrangian (ALE) and Couple Lagrangians-Eulerian (CEL).

TL;DR: In this article, the authors analyzed the current industrial processes for recovering lithium from recycled lithium ion batteries (LIBs) and determined that they are needlessly energy intensive and complicated, when applied to recycling automotive LIBs.

TL;DR: There are still clinical, financial and technological barriers for full-scale implementation of AM in a service system for custom orthoses and prostheses, according to the study conducted at the University of Michigan Orthotics and Prosthetics Center.

TL;DR: In this paper, a review of multi-criteria decision-making (MCDM) models, evaluating each method and comparing them from a maintenance management point of view is presented.

TL;DR: In this article, the authors present two design strategies to use additive manufacturing benefits in product development: a manufacturing driven design strategy allows a substitution of manufacturing processes at a later stage of the product life cycle, while a function driven strategy increases the performance of a product.

TL;DR: In this paper, the authors present a concept for a battery disassembly workstation where a human is assisted by a robot, which performs simple, repetitive tasks such as removing screws and bolts.

TL;DR: In this paper, an approach for determining the optimum machining parameters leading to minimum surface roughness by integrating Artificial Neural Network (ANN) and Genetic Algorithm (GA) is presented.

TL;DR: The Demonstration Factory of the RWTH Aachen Campus offers an ideal framework for this purpose as discussed by the authors, which features the real production of marketable products as well as an infrastructure tailored to experiment-based production research.

TL;DR: In this paper, the process behavior of the agglomerated and pre-sintered tungsten carbide-cobalt (WC-Co) powder material in the SLM process is investigated.

TL;DR: In this paper, a predictive and optimization model was developed by coupling the two artificial intelligence approaches (i.e., artificial neural network and genetic algorithm) as an alternative to conventional approaches in predicting the optimal value of machining parameters leading to minimum surface roughness.

TL;DR: In this article, the authors presented a modeling of bike sharing demand at station level in the city of Lyon, where robust linear regression models were used in order to predict the flows of each station.

TL;DR: In this paper, the authors proposed a set of key performance indicators (KPIs) for evaluating the sustainable manufacturing believed to be appropriate to the cement industry based on the triple bottom line of sustainability.

TL;DR: A comprehensive survey is provided by reviewing some recent applications in AR in remote maintenance, diagnostics, non-destructive testing, repairing and setup activities, emphasizing potential advantages, limits and drawbacks, as well as open issues which could represent new challenges for the future.

TL;DR: In this article, an extrusion-based additive manufacturing technology using UV-curable dispersions was developed, and the homogeneity, rheology and printability of these dispersions, containing 22,5%vol to 55%vol ZrO2 in different commercially available resins were investigated.

TL;DR: In this article, the authors examine the range of the concept of distributed manufacturing starting from standardized factories to visionary generative manufacturing units according to cloud-production and give a complete overview of traditional and modern forms of geographically distributed production and the prospect of new and partly visionary development directions.

TL;DR: In this paper, the advantages of cyber-physical systems in view of production planning, controlling and monitoring are discussed in the context of IFA's Learning Factory, which can be specifically utilized in applying logistic models to improve order processing.

TL;DR: In this paper, a tier 1 automotive supplier has developed a novel and unique kinetic energy recovery storage system for both retrofitting and OEM application for public transport systems where periodic stop start behavior is paramount.

TL;DR: In this paper, the results of a recent machinability study involving cutting forces, surface roughness and tool-wear were compared with those obtained from machining with flood cooling and minimum quantity lubrication (MQL) methods.

TL;DR: Using a factorial analysis design of experiment (DOE), optimum process parameters were found to improve dimensional accuracy on rectangular test specimens, minimizing changes in length, width and height.

TL;DR: In this paper, the authors present a business model for additive manufacturing technologies, including Stereolithography, Selective Laser Melting (SLM), Fused Deposition Modeling (FDM), Electron Beam Melting, and Laser Cladding.

TL;DR: In this paper, the authors discuss absolute boundaries for environmental sustainability, metrics for gauging our solutions against these boundaries and the need and possibilities of expanding our focus from efficiency to effectiveness.

TL;DR: In this article, the authors identify the interactions between SLM and PLM in manufacturing firms, based on expert interviews and illustrated in PSS use cases, and identify the interaction between service delivery to the beginning-of-life phase of products.