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        Investigation on Micro-Milling of Ti–6Al–4V Alloy by PCD Slotting-Tools

        Jinjin Han,Xiuqing Hao,Liang Li,Li Zhong,Guolong Zhao,Ning He 한국정밀공학회 2020 International Journal of Precision Engineering and Vol.21 No.2

        Ti–6Al–4V is characterized by various protruding characteristics and has been found extensive applications in aerospace, biomedical device industries and other fields. However, these properties in turn bring about the increase in cutting forces, make the chips intractable to control and also shorten the tool service life, etc. A preliminary exploration of micro-milling of Ti–6Al–4V by PCD slotting-tool (MST-PCD) was launched in this paper. The most prominent advantage was the PCD slotting-tools could reach a higher linear velocity even the spindle speed was lower, which can strongly ensure the strength and stiffness of micro cutters and suppress the vibration occurrence due to the high spindle speed. The machining processes of using PCD slotting-tool and carbide micro-end mill (MEM-WC) was compared in detail. The wear experiments were conducted to confirm the effectiveness and advantage of MST-PCD. The cutting forces and surface quality, as well as the effects of tool wear on these output responses were investigated. Then model establishment and multi-objective parameter optimization were performed based on the orthogonal experiment results. Finally, verification experiments were also carried out to confirm the effectiveness of the developed models and MST-PCD. The findings in this paper can also be applied to other difficult-to-machine materials.

      • KCI등재

        A Novel Tool (Single-Flute) Condition Monitoring Method for End Milling Process Based on Intelligent Processing of Milling Force Data by Machine Learning Algorithms

        Yinfei Yang,Bijun Hao,Xiuqing Hao,Liang Li,Ni Chen,Tao Xu,Khan M. Aqib,Ning He 한국정밀공학회 2020 International Journal of Precision Engineering and Vol.21 No.11

        Tool condition monitoring is deemed as an essential technology of the intelligent manufacturing. Tool wear which directly affects the tool life makes a negative influence on the quality and dimensional accuracy of the machined surface, even leads to tool breakage, machine downtime, and other severe problems. Therefore, an available tool condition monitoring system is essential for the machining process to guarantee the processing quality and improve the machining efficiency. This paper proposes a new tool condition monitoring method based on the general judgment of cutting force. Milling force from a single-flute is predicted by deducing a theoretical formula based on un-deformed chip thickness. Based on the formula, cutting force samples used for machine learning paradigms are generated through time domain translation and Gaussian distribution. Nonlinear manifold learning methods are applied in the visualization of high dimensional data. Principal component analysis as a practical feature extraction method is used to reduce the large dimensionality of the sample set. The performance of respectively linear kernel, polynomial kernel, radial basis function and sigmoid kernel are self-compared to estimate the classification results via support vector machine. Experiments are carried out on an annealed Ti–6Al–4V alloy to measure the feasibility of this method.

      • KCI등재

        Preparation and Characterization of Platinum Nanoparticles Supported by Non-woven Fabric for Formaldehyde Decomposition

        Gaodan Luo,Qian Yu,Lin Yu,Xiaorui Wang,Xiuqing Hao,Jing Fu 한국섬유공학회 2019 Fibers and polymers Vol.20 No.10

        Vacuum adsorption was employed to synthesize platinum/polyethylene terephthalate (PET) samples with greatpotential for indoor air quality improvement application. Pt nanoparticles (PNPS) were loaded onto surface of non-wovenfabric composed of polyethylene terephthalate (PET) and with high air permeability. High activity was sought for the Pt/PETcatalyst by investigating the effects of hexadecyl trimethyl ammonium bromide (CTAB) on PNP sizes and PET fibersurfaces. The prepared samples were characterized by XRD, SEM, TEM, TG, FTIR and XPS analysis. The results indicatedthat Pt/PET samples were successfully fabricated, and a formaldehyde conversation of 70.8 % was obtained within 150 minat 35 oC using Pt/PET with 0.6 wt% Pt loading. This research provided a facile method for depositing Pt onto PET fibers(non-woven fabric), and the catalytic activities of the resulting composite Pt/PET materials indicated them to be promisingfor applications to indoor air remediation.

      • KCI등재

        Concentration of polychlorinated biphenyls and risk assessment in finless porpoises from the East China Sea

        Chen Bingyao,Jiang Huiping,Wang Hui,Yang Guang,Hao Xiuqing 한국독성학회 2024 Toxicological Research Vol.40 No.2

        Polychlorinated biphenyls (PCBs) are bioaccumulative persistent organic pollutants with a great impact on cetaceans. To examine the content of PCBs and their risks to finless porpoises, this study determined the concentrations of seven typical PCB congeners in 56 tissue samples of East Asian finless porpoises (EAFPs) sampled in 2009–2012 from Ningbo (29.8835° N, 122.0644° E), Pingtan (25.5133° N, 119.8172° E) and Lvsi (32.1035° N, 121.6078° E). PCB138, PCB153 and PCB101 were the predominant congeners, accounting for 31.15%, 18.59% and 15.75%, respectively, of all PCBs detected. The content of PCBs increased with age in males but decreased from juveniles to adults in females due to transfer to calves by reproduction and lactation. EAFPs in Ningbo and Pingtan accumulated more PCBs than those in Lvsi Port. The trophic positions of EAFPs from Lvsi, Pingtan and Ningbo were 9.41, 8.95 and 9.43, respectively. PCB concentrations did not accumulate significantly with increasing trophic levels. The risk quotient index indicated that the risk of trichlorobiphenyl (3-PCB), tetrachlorobiphenyl (4-PCB), pentachlorobiphenyls (5-PCB), and hexachlorobiphenyls (6-PCB) to EAFPs in the East China Sea was generally low and within safe limits thus far.

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