In situ monitoring for numerical controlled manufacturing of large conceptual prototype based on multi-view stitching fusion

Xu, Jinghua; Wang, Linxuan; Zhang, Shuyou; Tan, Jianrong

doi:10.1007/s00170-023-12053-1

Cited by 2 publications

(2 citation statements)

References 33 publications

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“…The practice-based computer numerical control learning, where computers control manufacturing tools, is an innovative learning approach for Mechanical Engineering Vocational Students at Universitas Negeri Padang. However, shortcomings persist in implementing the CNC course, including limited access to virtual machines and reliance on traditional learning curricula [17]. Indeed, implementing this approach for the practicum process is less feasible, as the ideal scenario involves a fully face-to-face setup.…”

Section: Introductionmentioning

confidence: 99%

Revolutionizing CNC Lathe Education: Designing Instructional Media Integrated Using Augmented Reality Technology

Prasetya,

Fortuna,

Jalinus

et al. 2024

TEM Journal

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Utilization of Computer Numerical Control (CNC) machines is crucial in modern manufacturing. Nevertheless, enhancing the skills of CNC machine operators remains a challenge in education and training. In response, the solution involves designing learning materials that simulate the machining process, particularly in innovative CNC learning integrated with Augmented Reality (AR) technology. The research utilizes the Multimedia Development Life Cycle (MDLC) model, encompassing steps like concept development, design, material collection, assembly, testing, and distribution. AR devices deliver additional visual information to CNC lathe students. The research results in learning materials using augmented reality to present 3D visualizations through markers, creating object representations to train 2-axis CNC lathes. These materials, designed as 3D virtual objects, offer real-time practicum experiences to learners. Black box testing confirms the effective implementation of augmented reality in CNC lathe training, providing cost savings in practicum materials and cutting tools during repeated testing on a 2-axis CNC lathe.

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Section: Introductionmentioning

confidence: 99%

Revolutionizing CNC Lathe Education: Designing Instructional Media Integrated Using Augmented Reality Technology

Prasetya,

Fortuna,

Jalinus

et al. 2024

TEM Journal

View full text Add to dashboard Cite

show abstract

“…Aiming at high quality fabricating for functional structure, considering the work [33][34][35], this paper proposes a towards extreme design of manifold structure for additive manufacturing based on multi-layer transfer learning.…”

Section: Introductionmentioning

confidence: 99%

Thermal deformation prediction for additive manufacturing of thin-walled components based on multi-layer transfer learning

WANG,

XU,

ZHANG

et al. 2024

Preprint

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This paper presents a thermal deformation prediction method for additive manufacturing of thin-walled components based on multi-layer transfer learning (MTL). The printability is forwardly designed via multi-objective optimization (MOO) by evaluating scanning length, spot amount and segment amount, accompanied by support material. To avoid the burdened and time-consuming simulation of FEM for various geometric characteristics of thin-walled components, the feed-forward multi-layer perceptron was constructed as the main structure of MTL to rapidly obtain temperature and deformation distributions of manufactured parts. The proposed method is verified by the SLM of mechanical unshrouded turbine. The metallographic diagrams of manufactured components were generated to observe the fabricating quality and verify the effectiveness of the MTL-based method. The metallographic experiment of the fabricated piece proves that the main microstructure of the cross-section of molten pool is spindly columnar crystals. The cross-section morphology and size of the molten pool is different due to different process parameters, making the width of grain is about 1µm. The proposed method is especially useful for metal 3D printing under uncertainty.

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In situ monitoring for numerical controlled manufacturing of large conceptual prototype based on multi-view stitching fusion

Cited by 2 publications

References 33 publications

Revolutionizing CNC Lathe Education: Designing Instructional Media Integrated Using Augmented Reality Technology

Revolutionizing CNC Lathe Education: Designing Instructional Media Integrated Using Augmented Reality Technology

Thermal deformation prediction for additive manufacturing of thin-walled components based on multi-layer transfer learning

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