Volume 11 (2020)
Volume 10 (2019)
Volume 9 (2018)
Volume 8 (2017)
Volume 7 (2016)
Volume 6 (2015)
Volume 5 (2014)
Volume 4 (2013)
Volume 3 (2012)
Volume 2 (2011)
Volume 1 (2010)
Investigating and Ranking Blasting Patterns to Reduce Ground Vibration using Soft Computing Approaches and MCDM Technique
1. Investigating and Ranking Blasting Patterns to Reduce Ground Vibration using Soft Computing Approaches and MCDM Technique

D. Mohammadi; R. Mikaeil; J. Abdollahei Sharif

Volume 11, Issue 3 , Summer 2020, , Pages 881-897

http://dx.doi.org/10.22044/jme.2020.9446.1852

Abstract
  The blasting method is one of the most important operations in most open-pit mines that has a priority over the other mechanical excavation methods due to its cost-effectiveness and ...  Read More
A Modified Schimazek’s F-abrasiveness Factor for Evaluating Abrasiveness of Andesite Rocks in Rock Sawing Process
2. A Modified Schimazek’s F-abrasiveness Factor for Evaluating Abrasiveness of Andesite Rocks in Rock Sawing Process

J. Ziaei; S. Ghadernejad; A. Jafarpour; R. Mikaeil

Volume 11, Issue 2 , Spring 2020, , Pages 563-575

http://dx.doi.org/10.22044/jme.2020.9261.1823

Abstract
  One of the most crucial factors involved in the optimum design and cost estimation of rock sawing process is the rock abrasivity that could result in a significant cost increase. Various ...  Read More
Performance evaluation of chain saw machines for dimensional stones using feasibility of neural network models
3. Performance evaluation of chain saw machines for dimensional stones using feasibility of neural network models

J. Mohammadi; M. Ataei; R. Kakaie; R. Mikaeil; S. Shaffiee Haghshenas

Volume 10, Issue 4 , Autumn 2019, , Pages 1105-1119

http://dx.doi.org/10.22044/jme.2018.7013.1542

Abstract
  Prediction of the production rate of the cutting dimensional stone process is crucial, especially when chain saw machines are used. The cutting dimensional rock process is generally ...  Read More
Performance evaluation of gang saw using hybrid ANFIS-DE and hybrid ANFIS-PSO algorithms
4. Performance evaluation of gang saw using hybrid ANFIS-DE and hybrid ANFIS-PSO algorithms

A.R. Dormishi; M. Ataei; R. Khaloo Kakaie; R. Mikaeil; S. Shaffiee Haghshenas

Volume 10, Issue 2 , Spring 2019, , Pages 543-557

http://dx.doi.org/10.22044/jme.2018.6750.1496

Abstract
  One of the most significant and effective criteria in the process of cutting dimensional rocks using the gang saw is the maximum energy consumption rate of the machine, and its accurate ...  Read More
Application of non-linear regression and soft computing techniques for modeling process of pollutant adsorption from industrial wastewaters
5. Application of non-linear regression and soft computing techniques for modeling process of pollutant adsorption from industrial wastewaters

A. Aryafar; R. Mikaeil; F. Doulati Ardejani; S. Shaffiee Haghshenas; A. Jafarpour

Volume 10, Issue 2 , Spring 2019, , Pages 327-337

http://dx.doi.org/10.22044/jme.2018.6511.1469

Abstract
  The process of pollutant adsorption from industrial wastewaters is a multivariate problem. This process is affected by many factors including the contact time (T), pH, adsorbent weight ...  Read More
Multivariate geostatistical estimation using minimum spatial cross-correlation factors (Case study: Cubuk Andesite quarry, Ankara, Turkey)
6. Multivariate geostatistical estimation using minimum spatial cross-correlation factors (Case study: Cubuk Andesite quarry, Ankara, Turkey)

B. Sohrabian; R. Mikaeil; R. Hasanpour; Y. Ozcelik

Volume 9, Issue 1 , Winter 2018, , Pages 255-275

http://dx.doi.org/10.22044/jme.2017.6216.1437

Abstract
  The quality properties of andesite (Unit Volume Weight, Uniaxial Compression Strength, Los500, etc.) are required to determine the exploitable blocks and their sequence of extraction. ...  Read More
Ranking sawability of dimension stone using PROMETHEE method
7. Ranking sawability of dimension stone using PROMETHEE method

R. Mikaeil; M. Abdollahi Kamran; G. Sadegheslam; M. Ataei

Volume 6, Issue 2 , Summer 2015, , Pages 263-271

http://dx.doi.org/10.22044/jme.2015.477

Abstract
  Predicting the sawability of the dimension stone is one of the most important factors involved in production planning. Moreover, this factor can be used as an important criterion in ...  Read More