Process characteristics of laser-assisted micro machining of SiCp/2024Al composites

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Wang, Zhichao, et al. “Process Characteristics of Laser-Assisted Micro Machining of SiCp 2024Al Composites”. The International Journal of Advanced Manufacturing Technology, vol. 94, no. 9-12, 2017, pp. 3679-90, https://doi.org/10.1007/s00170-017-1071-x.
Wang, Z., Xu, J., Yu, H., Yu, Z., Li, Y., & Du, Q. (2017). Process characteristics of laser-assisted micro machining of SiCp/2024Al composites. The International Journal of Advanced Manufacturing Technology, 94(9-12), 3679-3690. https://doi.org/10.1007/s00170-017-1071-x
Wang Z, Xu J, Yu H, Yu Z, Li Y, Du Q. Process characteristics of laser-assisted micro machining of SiCp/2024Al composites. The International Journal of Advanced Manufacturing Technology. 2017;94(9-12):3679-90.
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  • Science: Chemistry
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Materials of engineering and construction. Mechanics of materials
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Refrences Analysis
Category Category Repetition
Technology: Mechanical engineering and machinery14
Technology: Engineering (General). Civil engineering (General)10
Technology: Electrical engineering. Electronics. Nuclear engineering: Materials of engineering and construction. Mechanics of materials6
Technology: Manufactures4
Science: Chemistry3
Science: Mathematics: Instruments and machines2
Technology: Chemical technology: Chemical engineering2
Technology: Technology (General): Industrial engineering. Management engineering1
Technology: Electrical engineering. Electronics. Nuclear engineering: Electronics1
Technology: Chemical technology1
Technology: Engineering (General). Civil engineering (General): Mechanics of engineering. Applied mechanics1
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Refrences used by this article by year
Citations
Title Journal Journal Categories Citations Publication Date
Analytical modeling of subsurface damage in laser-assisted machining of metal matrix composites based on the reinforcement fracture probability Journal of Manufacturing Processes
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 2024
Sustainability of Methods for Augmented Ultra-Precision Machining International Journal of Precision Engineering and Manufacturing-Green Technology
  • Technology: Mechanical engineering and machinery: Renewable energy sources
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 1 2023
Machined surface formation and integrity control technology of SiCp/Al composites: a review

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A comprehensive review of advances in ultrasonic vibration machining on SiCp/Al composites Journal of Materials Research and Technology
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Citations Analysis
Category Category Repetition
Technology: Electrical engineering. Electronics. Nuclear engineering: Materials of engineering and construction. Mechanics of materials7
Science: Chemistry6
Technology: Engineering (General). Civil engineering (General)5
Technology: Chemical technology4
Technology: Manufactures4
Technology: Mining engineering. Metallurgy3
Technology: Technology (General): Industrial engineering. Management engineering3
Science: Physics2
Technology: Chemical technology: Clay industries. Ceramics. Glass2
Technology: Mechanical engineering and machinery2
Science: Chemistry: Physical and theoretical chemistry1
Technology: Mechanical engineering and machinery: Renewable energy sources1
Technology: Engineering (General). Civil engineering (General): Applied optics. Photonics1
Technology: Electrical engineering. Electronics. Nuclear engineering: Electric apparatus and materials. Electric circuits. Electric networks1
Science: Physics: Optics. Light1
Technology: Electrical engineering. Electronics. Nuclear engineering: Electronics1
The category Technology: Electrical engineering. Electronics. Nuclear engineering: Materials of engineering and construction. Mechanics of materials 7 is the most commonly referenced area in studies that cite this article. The first research to cite this article was titled A study on machinability of polymer composite by abrasive water jet machining and was published in 2018. The most recent citation comes from a 2024 study titled Analytical modeling of subsurface damage in laser-assisted machining of metal matrix composites based on the reinforcement fracture probability. This article reached its peak citation in 2023, with 4 citations. It has been cited in 12 different journals, 25% of which are open access. Among related journals, the Journal of Materials Research and Technology cited this research the most, with 2 citations. The chart below illustrates the annual citation trends for this article.
Citations used this article by year