Yazar "Li, Zhixiong" seçeneğine göre listele

Listeleniyor 1 - 2 / 2
  • Küçük Resim Yok
    Öğe
    Effect of nanoparticles as a lubricants in nano-MQL machining of metallic materials: A review
    (Ieee, 2021) Korkmaz, Mehmet Erdi; Gupta, Munish Kumar; Krolczyk, Grzegorz M.; Maruda, Radoslaw W.; Li, Zhixiong
    Nanofluids with minimal lubrication (MQL) are drawing attention with laws and regulations that improve environmental protection. Researchers have focused on a variety of issues concerning the performance and application of nanofluids in MQL processing. This review effort attempts to evaluate some of these researches in order to understand the influence of nanoparticles, as well as the kind and on the machinability performance of metallic materials. Furthermore, it has been found that the rise of unique types of nanoparticles and/or nanofluids combined with other types of nanoparticles considerably alters MQL processing performance (hybrid nanofluids). It has been observed that graphene oxide, paraffin wax, and soy-based nanofluids, as well as MoS2 nanoparticles and hybrid nanofluids, such as multi-layer aluminum carbon nanotubes and alumina graphene, provide effective lubricating and cooling effects in MQL processing. However, to optimize their application in machining operations, the thermophysical and wettability features of hybrid nanofluids during aging, as well as difficulties associated to nanoparticle clustering at greater concentrations, must be explored. This paper finally lists several types of nanoparticles that can be used for further machining studies to achieve collaborative effects on MQL processing performance.
  • Küçük Resim Yok
    Öğe
    Indirect monitoring of machining characteristics via advanced sensor systems: a critical review
    (Springer London Ltd, 2022) Korkmaz, Mehmet Erdi; Gupta, Munish Kumar; Li, Zhixiong; Krolczyk, Grzegorz M.; Kuntoglu, Mustafa; Binali, Rustem; Yasar, Nafiz
    On-line monitoring of the machining processes provides to detect the amount and type of tool wear which is critical for the determination of remaining useful lifetime of cutting tool. According to Industry 4.0 revolution, the machining performance in terms of cutting forces, surface roughness, power consumptions, tool wear, tool life, etc. needs to be automatically monitored because the unfavorable conditions in machining cause chatter vibrations, tool breakage, and dimensional accuracy. Therefore, the usage of advanced sensor systems plays a key role in achieving the improved machining characteristics in terms of less human effort, errors, production time, etc. and fulfills the requirement of Industry 4.0. Hence, this review presents the holistic knowledge of online detection systems including sensors and signal processing software preferred in mechanical machining operations. Initially, this paper is starting with the up-to-date literature introduction section followed by type of sensors used in machining, online detection methods in machining, challenges and suggestions, etc. Eventually, the article concluded the findings and future remarks especially focused on the theme of Industry 4.0. In the end, it is worthy to mention that this review paper is very helpful for researchers and academicians working in the industrial sectors.