Browsing Artikuluak-Ingeniaritza by Title
Now showing items 147-166 of 320
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Identification of the Parameter Values of the Constitutive and Friction Models in Machining Using EGO Algorithm: Application to Ti6Al4V
(MDPI, 2022)The application of artificial intelligence and increasing high-speed computational performance is still not fully explored in the field of numerical modeling and simulation of machining processes. The efficiency of the ... -
Implementing Open Innovation in Research and Technology Organisations: Approaches and Impact
(MDPI AG, 2019)This article seeks to answer the question of how value proposition is created using a human-centred approach in the context of deservitization, in general, and service dilution, in particular. The article aims to describe ... -
Impregnation quality diagnosis in Resin Transfer Moulding by machine learning
(Elsevier Ltd., 2021)In recent years, several optimization strategies have been developed which reduce the overall defectiveness of the RTM manufactured part. RTM filling simulations showed that, even using optimized injection strategies, local ... -
In-Line Dimensional Inspection of Warm-Die Forged Revolution Workpieces Using 3D Mesh Reconstruction
(MDPI, 2019)Industrial dimensional assessment presents instances in which early control is exerted among “warm” (approx. 600 ºC) pieces. Early control saves resources, as defective processes are timely stopped and corrected. Existing ... -
In-SEM micro-machining reveals the origins of the size effect in the cutting energy
(Springer Nature, 2021)High-precision metal cutting is increasingly relevant in advanced applications. Such precision normally requires a cutting feed in the micron or even sub-micron dimension scale, which raises questions about applicability ... -
Incorporation of Synthetic Data Generation Techniques within a Controlled Data Processing Workflow in the Health and Wellbeing Domain
(MDPI, 2022)To date, the use of synthetic data generation techniques in the health and wellbeing domain has been mainly limited to research activities. Although several open source and commercial packages have been released, they have ... -
Induction Skull Melting of Ti-6Al-4V: Process Control and Efficiency Optimization
(MDPI AG, 2019)Titanium investment casting is one of the leading and most e cient near-net-shape manufacturing processes, since complex shape components are possible to obtain with a very low amount of material waste. But melting these ... -
Industrial Cyber-Physical System Evolution Detection and Alert Generation
(MDPI AG, 2019)Industrial Cyber-Physical System (ICPS) monitoring is increasingly being used to make decisions that impact the operation of the industry. Industrial manufacturing environments such as production lines are dynamic and ... -
Industrial Design of Electric Machines Supported with Knowledge-Based Engineering Systems
(MDPI, 2021)The demand for electric machines has increased in the last decade, mainly due to applications that try to make a full transition from fuel to electricity. These applications encounter the need for tailor-made electric ... -
Influence of lubrication condition on the surface integrity induced during drag finishing
(Elsevier Ltd, 2020)Tribofinishing is one of the most popular polishing process in industry. The action of small abrasive media around parts enables to reduce significantly surface roughness and at the same time, to induce compressive residual ... -
Influence of Microstructure on Chip Formation when Broaching Ferritic-Pearlitic Steels
(Elsevier B.V., 2017)Broaching is a specific process characterized by relatively low cutting speeds and uncut chip thicknesses. The latter is in the range of 0.1 to 0.25 mm in the roughing section of the tool but can decrease down to 0.0015 ... -
The influence of the kinematic hardening on the FEM simulation of Tension Levelling Process
(Elsevier Ltd., 2020)Tension levelling is used in the steel industry to remove shape defects present in cold rolled strip. This technology is increasingly being employed by steel makers to level AHSS steels, because conventional roll levelers ... -
Influence of the pressure dependent coefficient of friction on deep drawing springback predictions
(Elsevier Ltd., 2016)The aim of this work is to show the influence of defining a pressure dependent friction coefficient onnumerical springback predictions of a DX54D mild steel, a HSLA380 and a DP780 high strength steel. Thepressure dependent ... -
Influencia del agua de mar en el comportamiento frente a impacto de baja energía de un nuevo laminado de resina natural reforzada con fibra de fique colombiano
(Universidad Nacional de Colombia, 2015)This experimental work is aimed at the influence of seawater immersion in low impact energy behavior of a novel Colombian fique fiber reinforced bio-resin laminate. Such material was manufactured by vacuum infusion. The ... -
An Innovative Energy Harvesting Shock Absorber System for Motorbikes
(IEEE, 2022)This article presents an innovative energy recovery shock absorber system for motorcycles. The shock absorber is named synchronous pulley - energy harvesting shock absorber (SP-EHSA). The SP-EHSA is the first system ... -
Integral Sensor Fault Detection and Isolation for Railway Traction Drive
(MDPI AG, 2018)Due to the increasing importance of reliability and availability of electric traction drives in Railway applications, early detection of faults has become an important key for Railway traction drive manufacturers. Sensor ... -
The Interaction between the Sheet/Tool Surface Texture and the Friction/Galling Behaviour on Aluminium Deep Drawing Operations
(MDPI, 2021)The increasing demands for lightweight design in the transport industry have led to an extensive use of lightweight materials such as aluminium alloys. The forming of aluminium sheets however presents significant challenges ... -
Inverse Identification of the Ductile Failure Law for Ti6Al4V Based on Orthogonal Cutting Experimental Outcomes
(MDPI, 2021)Despite the prevalence of machining, tools and cutting conditions are often chosen based on empirical databases, which are hard to be made, and they are only valid in the range of conditions tested to develop it. Predictive ...
