Modeling and monitoring the material removal rate of abrasive belt grinding based on vision measurement and the gene expression programming (GEP) algorithm

Ren, Lijuan; Wang, Nina; Pang, Wanjing; Li, Yongchang; Zhang, Guangpeng

doi:10.1007/s00170-022-08822-z

Cited by 13 publications

(2 citation statements)

References 18 publications

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“…get 𝑃 = 𝑓 𝜃 , 𝑁, 𝑉 . In reality, it is very difficult to estimate the required power, because it depends on both stationary parameters (mass, heat capacity, partly the difference between the required changeover temperature and the temperature of the surrounding environment) and dynamic ones -the rate of environmental temperature change, changes in climatic conditions depending on the climatic dynamic impacting factors -wind strength, humidity, atmospheric pressure [10,11]. In the study [12], the study of power changes depending on various environmental factors was carried out.…”

Section: Development Of the Heating Element Power Control Conceptmentioning

confidence: 99%

Indirect measurements in the intelligent heating control system for the turnout using adaptive systems

Muhitovs¹,

Mezitis²,

Strautmanis³

et al. 2022

J. meas. eng.

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The article discusses the possibility of applying the results of regression analysis [1], fuzzy logic modelling and adaptive systems as such for use in heating control circuits of railway turnouts in order to reduce energy consumption, reduce current surges during on/off switching, and extend the life of heating elements. Based on various researches [2-4] some new solutions are proposed to fulfil shortages of current solutions. As a proposed solution to the described problem, an experimental point electric heating adaptive control system is proposed and described. Experiment of controlling point electric heating system using pulse-width modulation driven by values of regression analysis and fuzzy logic elements. Adaptive methods allowed to dismiss contact temperature sensors, which is associated with a decrease in the reliability of the system, but this fact is prevented by the use of such control methods that can indirectly determine the required rail heating temperature. Conclusions show that the approach of introducing adaptive methods like pulse-width modulation allows to control point electric heating in more efficient way – using program code, control system will adjust heating by adjusting time intervals when the heating is turned on and off.

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Section: Development Of the Heating Element Power Control Conceptmentioning

confidence: 99%

Indirect measurements in the intelligent heating control system for the turnout using adaptive systems

Muhitovs¹,

Mezitis²,

Strautmanis³

et al. 2022

J. meas. eng.

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show abstract

“…More importantly, the expressions from GEP have been reported in the literature to have a good generalisation and predictive capability, not limited to correlations [30,34,35]. Recently, GEP has been adopted to study material removal via machining [36], with most studies still revolving around civil engineering applications [30,37].…”

Section: Introductionmentioning

confidence: 99%

Boundary Lubricity of Vegetable-Oil-Derived Trimethylolpropane (TMP) Ester

Lee

Chong

et al. 2022

Lubricants

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Vegetable-oil-based biolubricants are an excellent alternative to conventional lubricants. Instead of focusing on novel feedstocks, these biolubricants should be further elucidated based on their fatty acid composition, which influences their tribological properties. Therefore, the study utilises gene expression programming (GEP) to derive a boundary lubricity model for vegetable-oil-derived trimethylolpropane (TMP) esters, considering the fatty acid composition (saturation and monounsaturation levels), load and speed. Neat vegetable oil and blends from seven feedstocks are selected following a wide range of fatty acid profiles to synthesise TMP esters using a two-stage transesterification process. The TMP esters are spin-coated on wear discs that are subsequently rotated against a ball using a purpose-built tribometer. The frictional performance of the TMP esters with balanced saturation and monounsaturation levels of fatty acid are measured to improve it at higher speeds. The GEP model is statistically evaluated by adopting the friction data, a showing good generalisation and predictability capability. The model demonstrates that friction decreases with increasing saturation levels of the TMP ester. The GEP model for vegetable oil TMP esters allows for the tribological performance prediction of TMP esters following the fatty acid profile, providing a platform to optimise such biolubricant for desired applications.

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Imputation of Compound Property Assay Data Using a Gene Expression Programming-Based Method

Zhou,

Lin,

Chen

et al. 2024

Communications in Computer and Information Science

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Modeling and monitoring the material removal rate of abrasive belt grinding based on vision measurement and the gene expression programming (GEP) algorithm

Cited by 13 publications

References 18 publications

Indirect measurements in the intelligent heating control system for the turnout using adaptive systems

Indirect measurements in the intelligent heating control system for the turnout using adaptive systems

Boundary Lubricity of Vegetable-Oil-Derived Trimethylolpropane (TMP) Ester

Imputation of Compound Property Assay Data Using a Gene Expression Programming-Based Method

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