Showing papers in "Procedia CIRP in 2018"

TL;DR: In this article, the authors comprehensively assessed the current research status on residual stress sources, characteristics, and mitigation in metal additive manufacturing and highlighted the relationship between residual stress and microstructure.

TL;DR: Combined with the services, the digital twin will generate more reasonable manufacturing planning and precise production control to help achieve smart manufacturing, through the two-way connectivity between the virtual and physical worlds of manufacturing.

TL;DR: In this article, the authors identified challenges related to adopting novel business models, data collection and management, collaboration and competence requirements, and virtualization of products and processes, collaboration with stakeholders and utilising digitalization were highlighted to be major opportunities in adopting CE-based business models.

TL;DR: Google DeepMind’s Deep Q Network (DQN) agent algorithm for Reinforcement Learning (RL) to production scheduling to achieve the Industrie 4.0 vision for production control.

TL;DR: The target is to build upon existing groundwork to conclude whether lean management and Industry 4.0 can complement each other, and this work considers how Industry 2.0 and lean management can support specific lean methods.

TL;DR: A conceptual framework and potential applications of a decision support system for the order management process are discussed, that is based on the Digital Twin of the manufacturing system.

TL;DR: Challenges of performing LCAs of emerging technology systems poses challenges because relevant observations are lacking with regards to the projected final system, projected unit process data, projected characterization factors of new chemicals, etc.

TL;DR: An introductory overview of smart packaging is provided and a presentation of potential benefits and emerging opportunities in the packaging sector, contrasted by a number of challenges that first have to be overcome for smart packaging to reach its full potential.

TL;DR: In this article, the authors compared the mechanical properties obtained by different welding technologies applied in wire-arc additive manufacturing (WAAM) and showed the applicability of the technology as an alternative of traditional metallic preforms manufacturing processes, such as casting or forging.

TL;DR: The foundation and the first steps aiming at the development of a method for the holistic planning of the digital transformation in small and medium-sized mechanical engineering enterprises are presented.

TL;DR: Novozymes as mentioned in this paper aligns its company purpose, strategy and long term targets with the SDGs, and is now in the process of evaluating and prioritizing its innovation pipeline by potential SDG impact.

TL;DR: This paper focuses on a digital twin of a cutting tool as a digital replica of a physical tool, its data format and structure, information flows and data management, as well as possibilities for fu ...

TL;DR: A conceptual framework on combination of mathematical modelling and Machine Learning to avoid issues of higher requirements to quality of a final product is provided.

TL;DR: This paper introduces a framework to evaluate and guide Industrie 4.0 implementations, which build upon insights from capability maturity and alignment, and can develop their own “roadmap” to increase the success of their Industrie 5.0 adoption.

TL;DR: In this paper, a number of barriers are identified and grouped through a content analysis, including technological, policy and regulatory, financial and economic, managerial, performance indicators, customer and social.

TL;DR: In this paper, a case study of a company who leverages Internet of Things, Big Data and Analytics in the provision of its Product-Service Systems (PSS) Business Model is presented and discussed.

TL;DR: The proposed in-process tool wear prediction system will be reinforced later by an adaptive control system that will communicate continuously with the ML model to seek the best adjustment of feed rate and spindle speed that allows the optimization of the flank wear and extend the tool life.

TL;DR: The surrogate-based optimisation approach is shown to reduce the number of resource-intensive FE simulations required to find optimised parameter configurations and improves on the best-known overall solution.

TL;DR: In this paper, the PSS literature has documented industrial firms' transformation from the product dominant logic of business to product-service bundles constituted by machines and re-configurable services.

TL;DR: An overview of condition-based predictive maintenance solutions that aim to avoid unexpected and unplanned failures during the manufacturing and operational process based on advanced data analytics are presented.

TL;DR: This review is to provide a comparative analysis of the current readiness level of vision based safety systems for industrial requirements and highlight the important components that are missing.

TL;DR: The use of state-of-the-art regression algorithms and their effect on increasing accuracy of LT prediction are examined, through a real industrial case study, and conclusions are drawn about the selection of features and applicability of the methods in the semiconductor industry.

TL;DR: In this article, the authors demonstrate the capability of laser polishing in rough surface of additive manufactured Inconel 718 alloy and show that the surface roughness more than 7 µm can be reduced to less than 0.1 µm through laser polishers.

TL;DR: In this paper, the authors identified 20 studies that use the organic fraction of municipal solid waste (OFMSW) as feedstock, producing enzymes, bioplastics, and biopesticides and other high value products.

TL;DR: Specific requirements can be identified for Augmented Reality applications that are caused, among other influences, by the variance of products and processes, work conditions, data connection issues as well as media literacy and technology acceptance.

TL;DR: Old machine reconditioning projects extend the life length of machines with reduced investments, however they frequently involve complex challenges and the lack of technical documentation and t ...

TL;DR: In this article, a 1 kW single mode fiber laser is used to process pure copper powder with 999% purity and a prototype SLM machine is employed allowing for a flexible manipulation of the process parameters.

TL;DR: In this paper, base plate preheating up to a temperature of 400°C is applied during SLM of four different materials, including aluminum 7075 alloy, nickel alloy Hastelloy X, H13 tool steel and CoCr.

TL;DR: This work evaluated two different approaches based on artificial neural networks, namely soft-start and random initialization, in a real injection molding process, and showed better learning rates and predictions that are more accurate while using fewer experimental data.

TL;DR: The methodology is applied to different CPPS types in order to underline applicability and benefits and aims at building up a methodology to assess those efforts from environmental point of view and bring them into context of potential improvement.