The application of cutting fluid is significantly increased in the machining sector to improve productivity.However,the inherent characteristics of cutting fluids on ecology,environment,and society shift the interest ...The application of cutting fluid is significantly increased in the machining sector to improve productivity.However,the inherent characteristics of cutting fluids on ecology,environment,and society shift the interest of researchers to work on environmentally friendly cooling conditions such as cryogenic cooling.Here,the effect of cutting speed and feed rate on the machining performance of the AISI‑L6 tool steel is investigated under cryogenic cooling conditions.Then,the L9 Taguchi based grey relational analysis(GRA)is conducted to investigate the essential machining indices such as cutting energy,surface roughness,tool wear,and material removal rate(MRR).The results indicate that the cutting speed of 160 m/min and feed rate of 0.16 mm/r are the optimum parameters that significantly improves the machining performance of AISI‑L6 tool steel.展开更多
This study explores the possibility of discovering H±through its bosonic decays,i.e.,H±→W±φ(whereφ=h or A),within the Type-I two Higgs doublet model(2HDM).The main objective is to demonstrate the ava...This study explores the possibility of discovering H±through its bosonic decays,i.e.,H±→W±φ(whereφ=h or A),within the Type-I two Higgs doublet model(2HDM).The main objective is to demonstrate the available parameter space after applying recent experimental and theoretical exclusion limits.We suggest that mH±=150 GeV is the most probable mass for the H±→W±φdecay channel in pp collisions at s1/2=8,13,and 14 TeV.We also report on the application of a modern machine learning approach to a multivariate technique for heavy charged Higgs production in association with a single top quark through weak interaction to demonstrate its observability in comparison with the most relevant Standard Model backgrounds using the neural networks of boosted decision Tree(BDT),likelihood(LH),and multilayer perceptron(MLP).展开更多
基金the National Natural Science Foundation of China(No.51922066)the Natural Science Outstanding Youth Fund of Shandong Province(No.ZR2019JQ19)+1 种基金the National Key Research and Development Program(No.2018YFB2002201)the Key Laboratory of High‑Efficiency and Clean Mechanical Manufacture at Shandong University,Ministry of Education。
文摘The application of cutting fluid is significantly increased in the machining sector to improve productivity.However,the inherent characteristics of cutting fluids on ecology,environment,and society shift the interest of researchers to work on environmentally friendly cooling conditions such as cryogenic cooling.Here,the effect of cutting speed and feed rate on the machining performance of the AISI‑L6 tool steel is investigated under cryogenic cooling conditions.Then,the L9 Taguchi based grey relational analysis(GRA)is conducted to investigate the essential machining indices such as cutting energy,surface roughness,tool wear,and material removal rate(MRR).The results indicate that the cutting speed of 160 m/min and feed rate of 0.16 mm/r are the optimum parameters that significantly improves the machining performance of AISI‑L6 tool steel.
文摘This study explores the possibility of discovering H±through its bosonic decays,i.e.,H±→W±φ(whereφ=h or A),within the Type-I two Higgs doublet model(2HDM).The main objective is to demonstrate the available parameter space after applying recent experimental and theoretical exclusion limits.We suggest that mH±=150 GeV is the most probable mass for the H±→W±φdecay channel in pp collisions at s1/2=8,13,and 14 TeV.We also report on the application of a modern machine learning approach to a multivariate technique for heavy charged Higgs production in association with a single top quark through weak interaction to demonstrate its observability in comparison with the most relevant Standard Model backgrounds using the neural networks of boosted decision Tree(BDT),likelihood(LH),and multilayer perceptron(MLP).
