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1713632PublishedVol 9 · Issue 7

Comparative Analysis of a 4/3 Manual Lever and a 4/2 Electric Solenoid Hydraulic Directional Control Valve with a Double-Acting Actuator Using Regression Modeling

Oshundairo Mushafau Anaidhuno Ufuoma Peter Ibrahim Adebayo Alamutu

Subject area: Science,Engineering and Technology  ·  Area of research: Mechanical Engineering

DOI: https://doi.org/10.64388/IREV9I7-1713632

Abstract

This study investigates and compares the operational performance of a 4/3 Manual Lever Directional Control Valve (MLDCV) and a 4/2 Electric Solenoid Directional Control Valve (ESDCV) in a hydraulic system utilizing a double-acting actuator. The primary objective was to analyze the piston traveling speed, force characteristics and time under varying valve openings and to develop predictive regression models for each hydraulic directional control valve system. Experimental data revealed that while the MLDCV exhibited predictable piston extension speeds, its retraction speeds were erratic and inconsistent, largely attributed to fluid dynamic phenomena - turbulence, cavitation. The responses were fast to predict on the experiment. The regression model for MLDCV extension speed was highly significant (R? = 0.9999), but the model for retraction speed demonstrated a lower fit (R? = 0.086), making its coefficients unreliable. The ESDCV provided stable and predictable piston speeds for both extension and retraction, with strong and statistically significant regression models (R? > 0.99 for both) that reliably explained piston dynamics and exhibited lower prediction errors. This research underscores the superior control and predictability offered by the ESDCV in applications demanding consistent and precise performance. The developed regression models serve as valuable tools for predicting hydraulic system design and selecting the most appropriate directional control valve based on application requirements.

Keywords

Solenoid, Control, Valve, Actuator, Regression, Modeling

How to cite this paper

Oshundairo Mushafau, Anaidhuno Ufuoma Peter, Ibrahim Adebayo Alamutu "Comparative Analysis of a 4/3 Manual Lever and a 4/2 Electric Solenoid Hydraulic Directional Control Valve with a Double-Acting Actuator Using Regression Modeling" Iconic Research And Engineering Journals Volume 9 Issue 7 2026 Page 1713-1722 https://doi.org/10.64388/IREV9I7-1713632
Oshundairo Mushafau, Anaidhuno Ufuoma Peter, Ibrahim Adebayo Alamutu "Comparative Analysis of a 4/3 Manual Lever and a 4/2 Electric Solenoid Hydraulic Directional Control Valve with a Double-Acting Actuator Using Regression Modeling" Iconic Research And Engineering Journals, vol. 9, no. 7, Jan. 2026, doi: https://doi.org/10.64388/IREV9I7-1713632
Oshundairo Mushafau, Anaidhuno Ufuoma Peter, Ibrahim Adebayo Alamutu (2026). Comparative Analysis of a 4/3 Manual Lever and a 4/2 Electric Solenoid Hydraulic Directional Control Valve with a Double-Acting Actuator Using Regression Modeling. Iconic Research And Engineering Journals, 9(7). doi: https://doi.org/10.64388/IREV9I7-1713632
Oshundairo Mushafau, Anaidhuno Ufuoma Peter, Ibrahim Adebayo Alamutu "Comparative Analysis of a 4/3 Manual Lever and a 4/2 Electric Solenoid Hydraulic Directional Control Valve with a Double-Acting Actuator Using Regression Modeling" Iconic Research And Engineering Journals, vol. 9, no. 7, Jan. 2026. Crossref, https://doi.org/10.64388/IREV9I7-1713632
@article{1713632,
      author = {Oshundairo Mushafau, Anaidhuno Ufuoma Peter, Ibrahim Adebayo Alamutu},
      title = {Comparative Analysis of a 4/3 Manual Lever and a 4/2 Electric Solenoid Hydraulic Directional Control Valve with a Double-Acting Actuator Using Regression Modeling},
      journal = {Iconic Research And Engineering Journals},
      year = {2026},
      volume = {9},
      number = {7},
      pages = {1713-1722},
      issn = {2456-8880},
      url = {https://www.irejournals.com/formatedpaper/1713632.pdf},
      abstract = {This study investigates and compares the operational performance of a 4/3 Manual Lever Directional Control Valve (MLDCV) and a 4/2 Electric Solenoid Directional Control Valve (ESDCV) in a hydraulic system utilizing a double-acting actuator. The primary objective was to analyze the piston traveling speed, force characteristics and time under varying valve openings and to develop predictive regression models for each hydraulic directional control valve system. Experimental data revealed that while the MLDCV exhibited predictable piston extension speeds, its retraction speeds were erratic and inconsistent, largely attributed to fluid dynamic phenomena - turbulence, cavitation. The responses were fast to predict on the experiment. The regression model for MLDCV extension speed was highly significant (R? = 0.9999), but the model for retraction speed demonstrated a lower fit (R? = 0.086), making its coefficients unreliable. The ESDCV provided stable and predictable piston speeds for both extension and retraction, with strong and statistically significant regression models (R? > 0.99 for both) that reliably explained piston dynamics and exhibited lower prediction errors. This research underscores the superior control and predictability offered by the ESDCV in applications demanding consistent and precise performance. The developed regression models serve as valuable tools for predicting hydraulic system design and selecting the most appropriate directional control valve based on application requirements.},
      keywords = {Solenoid, Control, Valve, Actuator, Regression, Modeling},
      month = {January},
      doi = {https://doi.org/10.64388/IREV9I7-1713632}
  }