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Casting vs Injection Moulding: A Comparison Study for In-Lab Low-Cost Soft Robot Fabrication
This paper investigates the efficacy of silicone moulding methods using casting and injection moulding in a laboratory environment. The production of...
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Knowledge Graph Supported Machine Parameterization for the Injection Moulding Industry
Plastic injection moulding requires careful management of machine parameters to achieve consistently high product quality. To avoid quality issues...
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Analysis of tribological and mechanical properties of coated graphene oxide, tungsten disulphide reinforced nylon hybrid composites
Nylon with various reinforcements is utilized for composite gear preparation; however, the composite specimens have less strength and a higher wear...
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An end-to-end machine learning approach with explanation for time series with varying lengths
An accurate prediction of complex product quality parameters from process time series by an end-to-end learning approach remains a significant...
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Managing Risks and Risk Assessment in Ergonomics—A Case Study
The paper deals with the evaluation of the ergonomic risks of an injection moulding machine which is used to foam components for car interiors. RULA...
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Predictive Maintenance Based on Machine Learning Model
This paper addresses the problem of predictive maintenance in industry 4.0. Industry 4.0 revolutionized companies in the way they produce,...
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Prediction of Surface Roughness Using Desirability Concept and Support Vector Machine for Fused Deposition Modeling Part
Fused Deposition Modeling (FDM) technique involves the deposition of a fused layer of material according to the geometry designed in the software....
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Industry 5.0 and Manufacturing Paradigms: Craft Manufacturing - A Case from Boat Manufacturing
Industry 5.0 is emerging as a novel approach in manufacturing, with focus on sustainability, resilience, and human centricity. This study...
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Enabling real time big data solutions for manufacturing at scale
Today we create and collect more data than we have in the past. All this data comes from different sources, including social media platforms, our...
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Overview and Application-Driven Motivations of Evolutionary Multitasking
A plethora of EMT algorithms have been proposed lately. Some of these either directly or indirectly make use of the probabilistic formulation of MTO...
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Service Lifecycle Management in Complex Product-Service Systems
The paper discusses the need for a standardized process to phase out after-market services within a product-service system (PSS). The authors suggest...
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DEM Modelling of a New ‘Sphere Filling’ Approach for Optimising Motion Control of Rotational Moulding Processes
Rotational moulding is a polymer forming process used to create hollow, stress-free products using both heat and rotation. The basic principles...
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The FRAM Error Model Within a System Theoretical Work System to Support Conceptually the Development of a Technical Learning System for Learning from Errors
New learning media approaches in technical vocational education offer multiple opportunities to revolutionize learning processes in apprenticeship....
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Design optimisation and an experimental assessment of soft actuator for robotic gras**
Many robotic systems face substantial challenges when trying to grasp and manipulate objects. Thought of initially as humanoid automata a century...
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Machine learning techniques applied to mechanical fault diagnosis and fault prognosis in the context of real industrial manufacturing use-cases: a systematic literature review
When put into practice in the real world, predictive maintenance presents a set of challenges for fault detection and prognosis that are often...
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Applying an Adapted Data Mining Methodology (DMME) to a Tribological Optimisation Problem
This work provides a guideline for a structural approach towards data mining projects in tribology. Due to the specifics of tribological processes,...
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Promises of industry 4.0 under the magnifying glass of interdisciplinarity: revealing operators and managers work and challenging collaborative robot design
The goal of this article is to propose a cross-perspective around Collaborative Robotics—seen as a remarkable example of technologies 4.0 in an...
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Modular Approach to Designing 3D Printed Products: Custom HCI Design and Fabrication of Functional Products
Alongside bringing about new ways to make products, additive manufacturing (commonly referred to as 3d printing) opens up new ways to design them....
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Data-Driven Pattern-Based Constructs Definition for the Digital Transformation Modelling of Collaborative Networked Manufacturing Enterprises
The digital transformation of collaborative networked manufacturing enterprises requires the building and the applying digital models representing...
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Linear vs. Symbolic Regression for Adaptive Parameter Setting in Manufacturing Processes
Product and process quality is playing an increasingly important role in the competitive success of manufacturing companies. To ensure a high quality...