Statistical and Computational Techniques in Manufacturing

Davim, J. Paulo

doi:10.1007/978-3-642-25859-6

Cited by 85 publications

(3 citation statements)

References 39 publications

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“…For this purpose, a GRA has been developed. 48 Initially, the experimental results were normalised. To do that, it is necessary to take into account if lower or higher results are better.…”

Section: Methodsmentioning

confidence: 99%

Cutting parameters influence on surface integrity of dry-turned Ti6Al4V alloy

Martín-Béjar,

Trujillo Vilches,

Herrera Fernández

et al. 2023

Proceedings of the Institution of Mechanical Engineers, Part L:

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Surface integrity is a high-interest characteristic of machined parts in the aeronautical industry. Numerous variables are related to the surface integrity and require to be studied as a whole. Generally, the cutting parameters affect these variables’ results, especially in sustainable machining operations. This work analyses the cutting speed and feed influence on different parameters such as the roughness, macrogeometrical deviations and microhardness of Ti6Al4 V turned in dry. All variables have been taken into account simultaneously, given the synergy between the different input and output variables. In general terms, feed seems to be the most influential variable in macrogeometrical and microgeometrical deviations, while cutting speed affects mainly the microhardness parameter. In addition, an optimisation process has been carried out. In the first step, the optimal cutting parameters were obtained for the lowest cutting speed and the lowest feed values due to the roughness is the predominant variable. Therefore, a second optimisation step was performed excluding this variable, optimising the macrogeometrical deviations and the microhardness. In this case, higher cutting speed and feed values seem to be the optimal cutting parameters. Finally, different decision maps were plotted to facilitate the cutting parameter selection according to the property to optimise.

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“…For this purpose, a GRA has been developed. 48 Initially, the experimental results were normalised. To do that, it is necessary to take into account if lower or higher results are better.…”

Section: Methodsmentioning

confidence: 99%

Cutting parameters influence on surface integrity of dry-turned Ti6Al4V alloy

Martín-Béjar,

Trujillo Vilches,

Herrera Fernández

et al. 2023

Proceedings of the Institution of Mechanical Engineers, Part L:

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“…These methodologies have been utilized to optimize a range of welding parameters, aiming to attain the optimal weld strength for diverse alloys and steel grades. The optimal solutions derived from these approaches have demonstrated noteworthy enhancements in process efficiency and product quality [16][17][18][19][20]. The optimal settings resulted in a 28.51% improvement in HAZ area and a 5.94% improvement in HAZ hardness.…”

Section: Introductionmentioning

confidence: 99%

Optimizing Laser Beam Welding Performance Parameters on Nimonic 80A Superalloy: A Study on Experimentation, TGRA, and PCA

Saurabh,

Chand,

Yadav

2024

Soldag. insp.

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This article describes the effect of CO 2 LBW performance parameters for the welded joint of 1.5 mm thin sheet of Nimonic 80A superalloy. Superalloy 80A used in high temperature application as aero-engine components-blade, rings, exhaust gas turbine part, nuclear tube support and automobile valve. The study focused on optimizing the welding process for the welded joints. Here, LP, WS, FD, and shielding GR will be optimised to improve the weld quality of Nimnic 80A material. Two different optimization techniques were used. The first method is SOO, which is based on the S/N ratio. The aim of this method is to find the Single-optimal values of process parameters. The second method employed MOO, combining the Taguchi grey relational analysis (TGRA) with the principal component analysis (PCA) technique. The researchers used these methods in an effort to identify the set of parameters for obtaining improved weld quality. Authors find best setting parameters p3-v3-f3-g1, with the specific parameter values are LP 2400 W, WS 1800 mm/min, FD 18 mm, and GR 10 lpm. The optimized parameters have yield significant improvements in the depth of penetration 6.03%, weld bead 8.74%, Vickers hardness 12.5%, and tensile strength 16.48% by using TGRA coupled with PCA.

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“…In the previous studies, the machining of the Al-based composite was done in the combination of AA7075/B 4 C, 7 AA7075/SiCp, 8 AA6082/10% Aluminium nitrite, 9 LM25 alloy/7% SiC/3% Gr, 10 Al/WC (3%, 6%, and 9%)/MoS 2 , 11 Al/TiC 12 and LM13 Al alloy–10ZrB2–5TiC. 13 The authors employed various optimization techniques such as grey relational analysis, 14 Multi-criteria Decision-Making Approach, 15 Taguchi method, 16 hybrid approach (Taguchi and non-dominated sorting algorithm-II), 17 and design of experiments 18,19 to assess the machining characteristics such as material removal rate (MRR), tool wear rate (TWR) and surface roughness (Ra). The optimized machining condition and the reinforcement volume fraction influenced the composite's surface integrity.…”

Section: Introductionmentioning

confidence: 99%

Machinability study on laser-based powder bed fusion processed hypo-eutectic aluminium alloy composite (AlSi10Mg + NbC)

Meghanathan,

Radhakrishnan,

Ramamoorthi

et al. 2023

Proceedings of the Institution of Mechanical Engineers, Part L:

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Understanding the machinability of additively manufactured composite materials is crucial for efficient manufacturing. The study aimed to evaluate the machinability of the composite material (AlSi10Mg + Niobium carbide (NbC)) using the Electro-discharge machining (EDM) process and to investigate the influence of different printing orientations on the EDM process. The Plackett–Burman design was initially employed to determine the significant EDM parameters. Subsequently, the Box–Behnken Design was followed to obtain the optimal settings on the EDM setup. The validation experiment based on the composite desirability approach confirmed the maximum material removal rate (MRRmax) and minimum tool wear rate (TWRmin). The identified configuration of 3 wt. % NbC reinforcement in AlSi10Mg, printed in the 0° orientation, exhibited the best performance in MRRmax: 146.43 mg/min, TWRmin: 0.00072 mg/min, and surface finish of 2.813 µm. These findings enhance the understanding of composite machinability and can assist in optimizing the EDM process for advanced materials.

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Statistical and Computational Techniques in Manufacturing

Cited by 85 publications

References 39 publications

Cutting parameters influence on surface integrity of dry-turned Ti6Al4V alloy

Cutting parameters influence on surface integrity of dry-turned Ti6Al4V alloy

Optimizing Laser Beam Welding Performance Parameters on Nimonic 80A Superalloy: A Study on Experimentation, TGRA, and PCA

Machinability study on laser-based powder bed fusion processed hypo-eutectic aluminium alloy composite (AlSi10Mg + NbC)

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