Energy Dissipation Characteristics Modelling for Hot Extrusion Forming of Aluminum-Alloy Components

Li, Hongcheng; Wu, Yuanting; Cao, Huajun; Lu, Feng; Li, Congbo

doi:10.1007/s40684-021-00410-y

Cited by 5 publications

(1 citation statement)

References 39 publications

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“…Xiao et al [26] proposed an optimization method for the process route of a machining center, which has achieved the goal of reducing energy consumption. Li et al [27] proposed a bond graph-based energy dissipation model for improving the energy utilization of aluminum alloy forming processes. Based on energy modelling and machine learning, Li et al [28] established the original model of energy behaviour and applied it to the prediction of energy behaviour in the casting process.…”

Section: Introductionmentioning

confidence: 99%

A rapid modelling method for machine tool power consumption using transfer learning

Wang,

Chen,

Chen

et al. 2024

Int J Adv Manuf Technol

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for Q. Wang A rapid modelling method for machine tool power consumption using transfer learning Abstract：Accurate power consumption models are the basis for improving energy efficiency of machine tools. The acquisition of energy consumption characteristics of different machine tools requires a large number of calibration experiments, which leads to low modelling efficiency. This paper proposes a rapid modelling method using transfer-learning to obtain the power consumption model of the target machine tool. After obtaining the power consumption model of the source machine tool through detailed experiments, this method only needs a few experiments to obtain the power consumption model of the target machine tool, which greatly improves the modelling efficiency, and the method is experimentally verified on different machine tools.

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Section: Introductionmentioning

confidence: 99%

A rapid modelling method for machine tool power consumption using transfer learning

Wang,

Chen,

Chen

et al. 2024

Int J Adv Manuf Technol

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Improving the Industrial Efficiency of Recycling Aluminum Alloy Chips Using Friction Stir Extrusion: Thin Wires Production Process

Buffa,

Campanella,

Adnan

et al. 2024

Int. J. of Precis. Eng. and Manuf.-Green Tech.

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Friction stir extrusion is one of the most promising solid-state chip recycling techniques because of its relative simplicity and high efficiency. One of the most straightforward applications for the process is the production of recycled wires to be utilized as filler material in welding or welding-based additive manufacturing processes, in order to create an industrial symbiosis link, fostering a circular economy and enhancing the technology readiness level of the process. The scalability of the process to the thin wires needed for such applications has not been investigated so far. In this paper, an experimental and numerical analysis was developed. A dedicated numerical model was first validated and then used to design the tool geometry. The effect of tool rotation and tool force on both “standard” mechanical properties, as Ultimate Tensile Strength and microhardness, and specific properties for the envisaged application, as the wrapping around reels with different radii, was investigated. The numerical model results were used to explain the influence of the process parameters on the material flow as well as on the distribution of the primary field variables, namely temperature, strain, and strain rate. Finally, the energy demand was measured, and the specific energy consumption (SEC) was evaluated. It was found that a conical shoulder surface favors the conditions for effective solid bonding. Low values of the extrusion force have detrimental effects on the wires properties as they result either in insufficient strain, or hot cracking defects. High values of extrusion force results in lower SEC, unlocking the potential of the process as symbiotic link enabler.

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Electromagnetic Joining for Multi-material Tubular Components: A Comprehensive Review

Kumar,

Kore,

Nandy

2024

Int. J. of Precis. Eng. and Manuf.-Green Tech.

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Energy Dissipation Characteristics Modelling for Hot Extrusion Forming of Aluminum-Alloy Components

Cited by 5 publications

References 39 publications

A rapid modelling method for machine tool power consumption using transfer learning

A rapid modelling method for machine tool power consumption using transfer learning

Improving the Industrial Efficiency of Recycling Aluminum Alloy Chips Using Friction Stir Extrusion: Thin Wires Production Process

Electromagnetic Joining for Multi-material Tubular Components: A Comprehensive Review

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