The effective extension of tool life while maintaining machining quality is an important research topic in advanced machining and sustainable manufacturing. Cemented carbide is widely used as the tool material in different manufacturing processes, and it has various forms and work ranges. However, the internal flaw in the tool material can induce a micro crack which could result in the decrease of tool strength and toughness and affect the tool life. Improving the tool cutting performance, slowing down the tool wear, and enhancing production efficiency are the eternal themes of cutting tool research. This research focused on a P10 cemented carbide tool. The influences of the electromagnetic coupling field (TEMCP) on the carbide tool life and the maximum of tool force are investigated. The correlation analysis between the TEMCP parameters and the tool life index is conducted using SPSS. The experiment proves that the TEMCP can significantly prolong the cemented carbide tool life, and that the magnetic intensity is a dominant factor. The TEMCP enriches the field technology theory and provides technical support for the sustainable manufacturing and research and development of a high-performance tool with important scientific meaning and research potential.

Automatic control is the key to improved production quality and efficiency of numerical control milling operations. Because the milling cutter is the most important tool in milling operations, the automatic monitoring of the tool wear state is of great significance. This work establishes a set of time domain and time-frequency domain features based on measurements of the cutting force for a computer numerical control milling machine and develops a method incorporating the Fisher criterion in an improved fruit fly optimization algorithm for selecting features most indicative of the tool wear state. A back propagation neural network was employed to test the effectiveness of the proposed feature selection method. Experimental comparisons with three other feature selection methods demonstrate that the proposed improved fruit fly optimization algorithm offers the advantages of the selection of a small number of significant features, easy implementation, precise optimization, rapid training, and good back propagation network performance. The proposed method has great potential for facilitating the practical monitoring of the milling tool wear state.

In this study, we have sequenced the complete mitochondrial genome of Sitotroga cerealella, which is 15,312 bp and contains 13 protein-coding genes, two rRNA genes, 22 tRNA genes, and a control region. Twenty-three genes were found to be encoded by the majority strand and the other 14 genes by minority strand, it is similar to Lepidoptera insects. The nucleotide compositions 39.60% of A, 11.80% of C, 40.90% of T, and 7.70% of G.

No abstract

Residual stress reductions of carbide cutting tools through applying pulsed magnetic field and coupled electromagnetic field -mechanism analysis and comparison study 1