Experimental and thermal investigation with optimization on friction stir welding of nylon 6A using Taguchi and microstructural analysis

Kumar, G. Suresh; Kumar, Adepu; Rajesh, S.; Chekuri, Rama Bhadri Raju; Sundaramurthy, Venkatesa Prabhu

doi:10.1177/16878140211050737

Cited by 10 publications

(4 citation statements)

References 30 publications

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“…To evaluate the system dynamics and develop a controller with the thermal control system is modeled using a straight line [13]. Figure 1 depicts the sequence layout of a temperature control system with platform time delays.…”

Section: Problem Statementmentioning

confidence: 99%

Stability Results of Thermal Control System with Time-Dependent Delays and Perturbations of Nonlinearity

Gemechu

Prabakaran²,

Lalithamani³

et al. 2022

Advances in Materials Science and Engineering

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The stability of a controlled network temperature control system (heat exchanger system) is examined in this study paper. A heat exchanger system keeps the end temperature of a liquid within defined parameters. The study proposes a linearized model of a temperature control system based on a delay-dependent state equation to accomplish this job. For a temperature management system in a network having time-varying delays, the LK functional (Lyapunov–Krasovskii) method is coupled with the reciprocal convex lemma. To get less conservative stability requirements, a new LK functional was assumed in the stability analysis, and the time-dependent of the (LK) functional was taken via the reciprocal convex combination approach. Finally, under the LMI (linear matrix inequalities) paradigm, the suggested stability analysis leads to a stability criterion. The suggested results establish a new stability criterion for a more accurate operating form for a present temperature control system based on a theoretically obtained temperature management system.

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Section: Problem Statementmentioning

confidence: 99%

Stability Results of Thermal Control System with Time-Dependent Delays and Perturbations of Nonlinearity

Gemechu

Prabakaran²,

Lalithamani³

et al. 2022

Advances in Materials Science and Engineering

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“…An underwater friction stir welding technique is used on aluminum alloy 6082-T6 to develop a mathematical model for optimizing process parameters and obtaining the highest tensile strength [15]. Optimizing friction stir welding (FSW) parameters to achieve both high tensile strength and impact toughness using Taguchi-based Greyish Relational Analysis (GRA) and Artificial Neural Network (ANN) [16][17][18]. An investigation is conducted on how input operating process factors, such as tool rotating speed (TRS), feed rate, and pitch values, affect output response parameters like ultimate tensile strength (UTS) and hardness of welded connections.…”

Section: Introductionmentioning

confidence: 99%

Optimization of Process Parameters in Under Water Friction Stir Welded AA2014 and AA6082 joints.

Madhavarao,

Gopalakrıshnam Raju,

Bhadri Raju Chekuri

et al. 2024

J. Phys.: Conf. Ser.

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This work focuses on optimizing process parameters in underwater friction stir welding to study their impact on the mechanical characteristics of aluminum 2014 T6 and 6082 T6 joints. The aluminum plates are precisely machined to provide the necessary polish for the underwater friction stir welding process (UFSW). Experiments are designed using Taguchi L-9 orthogonal array, considering three process parameters: speed, transverse speed, and tool angles at three levels each. The aluminum plates of series 2014-T6 and 6082-T6 are securely installed in the machine. The plates will be welded using the UFSW process using a taper pin tool. The welded plates are next subjected to tests to assess their mechanical qualities. Tests for tensile strength, hardness, and impact strength are conducted on the welded area of the plate to determine its mechanical qualities. An ANOVA was conducted to determine the significant influence of each variable. The optimal values achieved are Tensile Strength of 185.592 N/mm2, Hardness of 75.1 (BHN), and Impact Strength of 21.236 Joules at a speed of 1120 rpm, transverse speed of 80 mm/min, and tilt angle of 2 degrees.

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“…Many diferent chemical pretreatments have been applied to the ZrSiO 4 nanoparticles, and conditions have been used in the ZrSiO 4 nanoparticle powder combination (like nanoparticles or graphite) to enhance the original shape and surface qualities of metal powders [14,15]. Ball milling is frequently used, but because of the lengthy milling process substantial damage to ZrSiO 4 nanoparticles, the Nano ZrSiO 4 /Al composite's mechanical characteristics are typically subpar [16,17].…”

Section: Introductionmentioning

confidence: 99%

Investigation on the Mechanical Properties of Powder Metallurgy-Manufactured AA7178/ZrSiO4 Nanocomposites

Srinivasan¹,

Karunakaran

Hariprabhu³

et al. 2023

Advances in Materials Science and Engineering

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The versatility of metal matrix composites (MMCs) makes them a promising material for various industrial applications. The current study used a ball milling to mechanically AA7178 powder and strengthened with zirconium silicate (ZrSiO4) nanoparticles. In addition, the AA7178 matrix was ball-milled to distribute the ZrSiO4 nanoparticles throughout the material. The AA7178 reinforced with ZrSiO4 nanoparticles was compacted and consolidated using two distinct powder metallurgy (PM) sequences: double pressing, double sintering, and hot pressing. In tests measuring microhardness, compression strength, and elongational break, the new nanocomposites surpassed the AA7178. The adequate interfacial bonding and even distribution of ZrSiO4 nanoparticles throughout the AA7178 matrix were essential to the strengthening mechanism. With the use of hot pressing, the mechanical characteristics of the nanocomposites were enhanced. As reinforcement concentration increased beyond 2.5% by weight, mechanical properties drastically degraded due to ZrSiO4 nanoparticles clumping and unequal distribution. Improved mechanical parts attain through the uniform distribution of ZrSiO4 nanoparticles in the AA7178 and the maintenance of their mechanical properties.

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Experimental and thermal investigation with optimization on friction stir welding of nylon 6A using Taguchi and microstructural analysis

Cited by 10 publications

References 30 publications

Stability Results of Thermal Control System with Time-Dependent Delays and Perturbations of Nonlinearity

Stability Results of Thermal Control System with Time-Dependent Delays and Perturbations of Nonlinearity

Optimization of Process Parameters in Under Water Friction Stir Welded AA2014 and AA6082 joints.

Investigation on the Mechanical Properties of Powder Metallurgy-Manufactured AA7178/ZrSiO4 Nanocomposites

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