Research on Key Control Technology of Intelligent Rolling Contact Fatigue Test Facility

Li, Jianyao; Liang, Juke; Chen, Gubo; Yang, Young-Soo

doi:10.1155/2020/2045634

Cited by 3 publications

(4 citation statements)

References 9 publications

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“…However, this system is not able to provide the information regarding internal defects and hence cannot be used as an alternative to ultrasonic testing. Some of the recent advancements of an automated vision system for RCF and rail inspection are reported by several researchers [102][103][104][105][106][107][108][109].…”

Section: Vision Systemmentioning

confidence: 99%

Recent advances in wheel-rail RCF and wear testing

et al. 2023

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The wear and rolling contact fatigue (RCF) testing approaches for wheels and rails have been reviewed and evaluated in this study. The study points out the advantages and limitations of the existing approaches. The broad analysis revealed that scaled laboratory-based wear testing is widely applied. However, it is necessary to predetermine the input parameters and observing parameters for scaled wear testing for three reasons: first, to emulate the real-world scenarios as closely as possible; second, to postprocess the results received from the scaled testing and transfer them into real practice at full scale; third, to present the results in a legible/appropriate format. Therefore, most of the important parameters required for wear testing have been discussed with fundamental and systematic explanations provided. Additionally, the transition of the parameters from the real-world into the test domain is explained. This study also elaborates on the challenges of the RCF and wear testing processes and concludes by providing major considerations toward successful testing.

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Section: Vision Systemmentioning

confidence: 99%

Recent advances in wheel-rail RCF and wear testing

et al. 2023

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“…It can realize the calculation and storage of all the data of the machine tool, and store the processing program of the machine tool. It is the key to realize complex machining, motion control, rapid response and accurate calculation to send driving signal to servo motor after processing and calculation according to instructions [22].…”

Section: Composition Of Cnc Machine Toolsmentioning

confidence: 99%

Control Parameter Optimization-Based Machining Control Technology of State-of-the Art Computer Numerical Control Machine Tools

2021

IJOMAM

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In order to improve the accuracy, reliability and efficiency of computer numerical control (CNC) machine tools, first, according to the working principle of servo motor and related physical relations, the mathematical model of servo system is established. Moreover, the mathematical model is used to establish the three-closed loop simulation structure of servo. Then, according to the simulation structure, a parameter optimization algorithm of CNC machine tool servo system based on improved particle swarm optimization (PSO) algorithm is proposed. Compared with the previous PSO algorithm, the PSO algorithm used has two improvements. First, it introduces the nonlinear dynamic inertia weight coefficient, and constructs the functional relationship between accelerated factor and inertia weight. Second, it introduces the extreme perturbation operator to increase the search range of particles. Moreover, the improved PSO algorithm is used to optimize the scale factor parameters in the regulator. The experimental results show that the dynamic performance of CNC machine tool servo system has been improved to a certain extent. Compared with the Proportion Integration Differentiation (PID) parameters without tuning, the overshoot of the system is reduced and the robustness is improved. In addition, the tuning PID parameters are compared with those of crowd search algorithm (SOA), PSO and genetic algorithm (GA). The results show that the adjustment time to the stable error of the CNC machine tool servo system optimized by GA algorithm is longer than other algorithms, and the oscillation of the transition time is severer. The PID parameters of CNC machine tool servo system optimized by improved PSO algorithm are obviously better than those optimized by other algorithms. The system using this parameter has a short adjustment time and an overshoot of 0. Therefore, the performance of the improved PSO algorithm is better than SOA, PSO and GA algorithm. The proposed algorithm provides a new idea for intelligent algorithm to solve the control parameter optimization problem of CNC machine tools.

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“…[28][29][30] (However, it has recently been suggested that such covalent binders are perhaps ill-suited for PROTACs, 31,32 although this finding has itself been questioned. 33 ) Multiple independent research groups have recently developed photoactivated PROTACs, [34][35][36][37] and novel experimental diagnostic techniques [38][39][40] will continue to afford additional insight with both greater accuracy and throughput.…”

Section: Introductionmentioning

confidence: 99%

“…However, particularly for early-phase PROTAC discovery efforts, this phenomenon is perhaps not at all artificial: that is, an unoptimized PROTAC may indeed be more likely to successfully bring two proteins together if a longer or more flexible linker provides more opportunities to achieve the requisite proximity. Moreover, the correlation between PROTAC conformational flexibility and final predicted degradation efficiency found in Case Study 3 is not ironclad -for example, Case Study 4 showed a diminution of this effect for particularly long PROTACs(Figure 4a), while Case Study 6 demonstrated that Method 4B can successfully discriminate between better and worse degraders even if the number of PROTAC conformations is similar (cf.PROTACs 29,35,36,37, and 32 ofFigure 6b, which all use ensembles of 25-35 PROTAC conformations). It seems that the additional machinery in Method 4B, particularly the protein-based filters that enforce a maximum allowed interfacial surface area of 670Å 2 , offer something of a safeguard against overscoring flexible PROTACs, as these filters are agnostic of the PROTAC entirely.…”

mentioning

confidence: 99%

Improved Accuracy for Modeling PROTAC-Mediated Ternary Complex Formation and Targeted Protein Degradation via NewIn SilicoMethodologies

Drummond¹,

Henry²,

Li³

et al. 2020

Preprint

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Extending upon our previous publication (Drummond and Williams, J. Chem. Inf. Model.2019, 59, 1634), in this work two additional computational methods are presented to model PROTAC-mediated ternary complex structures, which are then used to predict the efficacy of any accompanying protein degradation. Method 4B, an extension to one of our previous approaches, incorporates a clustering procedure uniquely suited for considering ternary complexes. Method 4B yields the highest proportion to date of crystal-like poses in modeled ternary complex ensembles, nearing 100% in two cases and always giving a hit rate of at least 10%. Techniques to further improve this performance for particularly troublesome cases are suggested and validated. This demonstrated ability to reliably reproduce known crystallographic ternary complex structures is further established through modeling of a newly released crystal structure. Moreover, for the far more common scenario where the structure of the ternary complex intermediate is unknown, the methods detailed in this work nonetheless consistently yield results that reliably follow experimental protein degradation trends, as established through seven retrospective case studies. These various case studies cover challenging yet common modeling situations, such as when the precise orientation of the PROTAC binding moiety in one (or both) of the protein pockets has not been experimentally established. Successful results are presented for one PROTAC targeting many proteins, for different possible PROTACs targeting the same protein, and even for degradation effected by an E3 ligase that has not been structurally characterized in a ternary complex. Overall, the computational modeling approaches detailed in this work should greatly facilitate PROTAC screening and design efforts, so that the many advantages of a PROTAC-based degradation approach can be effectively utilized both rapidly and at reduced cost.

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Research on Key Control Technology of Intelligent Rolling Contact Fatigue Test Facility

Cited by 3 publications

References 9 publications

Recent advances in wheel-rail RCF and wear testing

Recent advances in wheel-rail RCF and wear testing

Control Parameter Optimization-Based Machining Control Technology of State-of-the Art Computer Numerical Control Machine Tools

Improved Accuracy for Modeling PROTAC-Mediated Ternary Complex Formation and Targeted Protein Degradation via NewIn SilicoMethodologies

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