Abstract
Bulldozer is an earth moving machine, which is mainly used for cutting and pushing soil. The process of soil cutting and pushing involves various decisions making to make it optimum. The decisions are generally made based on the experience of practitioners that may not be optimum for different working conditions. In this paper, a bi-objective optimization problem is modelled so that the optimum values of decision variables can be determined. The objective functions are proposed to make the process economic and productive by minimizing the cutting force on a bulldozer blade and maximizing the blade capacity. A constraint is also developed on the power requirement from a bulldozer to overcome resistance. The problem is solved using ε-constraint method and multi-objective genetic algorithm. The approximate Pareto-optimal solutions and their perturbation analysis are presented. Various relationships are evolved from the post-optimal analysis that can be used for making guidelines for decision making for the process. The originality of this paper lies in developing the bi-objective formulation and in presenting various relationships by the post-optimal analysis, which has sparingly done in the domain literature.
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Abbreviations
- B:
-
Blade width, m
- H:
-
Blade height, m
- R:
-
Blade curvature radius, m
- θ:
-
Blade curvature angle, radians
- δ:
-
Soil-metal angle friction, radians
- γo :
-
Density of cut soil, kg/m3
- γ:
-
Uncut soil density, kg/m3
- Co :
-
Cohesion of cut soil, N/m2
- C:
-
Cohesion of uncut soil, N/m2
- Ad :
-
Soil adhesion factor, N/m2
- φ:
-
Angle of internal friction of soil, radians
- φo :
-
Angle of accumulation of cut soil, radians
- β:
-
Angle that the rapture plane makes with horizontal, radians
- α:
-
Cutting angle of blade, radians
- v:
-
Bulldozer velocity, m/s
- D:
-
Cutting depth, m
- m1g:
-
Weight of soil pile moving on the ground (fgde), N
- m2g:
-
Weight of cut soil (abdgf) sliding up on the surface of the blade, N
- m3g:
-
Weight of soil wedge (bcdnmk), N
- Ff1 :
-
Frictional force between soil pile (fgde) and ground, N
- Fc1 :
-
Cohesion force between soil pile (fgde) and ground, N
- Pf2 :
-
Frictional force between blade and cut soil (abdgf), N
- Fad :
-
Adhesion force between the soil and cutting edge of the blade, N
- Pad :
-
Adhesion force between blade and cut soil (abdgf), N
- Pf1 :
-
Frictional force between soil pile (fgdc) and cut soil, N
- Pc1 :
-
Cohesion force between soil pile(fgdc) and cut soil (abdgf), N
- G:
-
Force acting normal to the face (bcd) and (nmk) of soil wedge, N
- SF2 :
-
Frictional force on the sides (bcd) and (nmk) of soil wedge, N
- CF2 :
-
Cohesion force on the sides (bcd) and (nmk) of soil wedge, N
- CF1 :
-
Cohesion force on the rapture plane, N
- SF1 :
-
Frictional force on the rapture plane, N
- Q:
-
Normal force on the rapture plane, N
- W:
-
Force acting normal to the face (bdkn) of soil wedge, N
- Fx :
-
The horizontal component of resultant cutting force N
- Fy :
-
The vertical component of resultant cutting force N
- F:
-
The resultant cutting force, N
- Nγ, Nc, Nq :
-
Reece dimensionless factors
- q:
-
Surcharge pressure, N/m2
- P:
-
The resistance force experienced at the blade, N
- V:
-
The blade capacity, m3
- V1 :
-
The soil pile volume (fde), m3
- V2 :
-
The soil pile volume (afg), m3
- V3 :
-
The soil pile volume (abdg), m3
- V4 :
-
The soil pile volume in the curvature area (ab), m3
- μ:
-
The frictional factor between the dozer crawlers and the soil
- G1 :
-
The weight of dozer equipment, kN
- Pbull :
-
The flywheel power of dozer equipment, kN m/s
- Rp :
-
Rimpull supplied by bulldozer engine to overcome resistance forces, kN
- PR :
-
Remaining power of bulldozer engine, kN m/s
References
R.L. Peurifoy, G.J. Schexnayder, A. Shapira, Construction Planning, Equipment and Methods, 7th edn. (McGraw-Hill Higher Education, London, 2006)
E. McKyes, Soil Cutting and Tillage (Elsevier, New York, 1985)
M. Abo-Elnor, R. Hamilton, J.T. Boyle, Simulation of soil–blade interaction for sandy soil using advanced 3D finite element analysis. Soil Tillage Res. 75(1), 61–73 (2004)
H. Bentaher, A. Ibrahmi, E. Hamza, M. Hbaieb, G. Kantchev, A. Maalej, W. Arnold, Finite element simulation of moldboard–soil interaction. Soil Tillage Res. 134, 11–16 (2013)
A. Armin, R. Fotouhi, W. Szyszkowski, On the FE modeling of soil–blade interaction in tillage operations. Finite Elem. Anal. Des. 92, 1–11 (2014)
I. Shmulevich, Z. Asaf, D. Rubinstein, Interaction between soil and a wide cutting blade using the discrete element method. Soil Tillage Res. 97(1), 37–50 (2007)
T. Tsuji, Y. Nakagawa, N. Matsumoto, Y. Kadono, T. Takayama, T. Tanaka, 3D DEM simulation of cohesive soil-pushing behavior by bulldozer blade. J. Terrramech. 49(1), 37–47 (2012)
J.V. Perumpral, R.D. Grisso, C. Desai, A soil–tool model based on limited equilibrium analysis. Trans. Am. Soc. Agric. Eng. 26(4), 991–995 (1983)
Y. Qinsen, S. Shuren, A soil–tool interaction model for bulldozer blades. J. Terrramech. 31(2), 55–65 (1994)
D.R.P. Hettiaratchi, A.R. Reece, Symmetrical three-dimensional soil failure. J. Terrramech. 4(3), 45–67 (1967)
E. McKyes, O.S. Ali, The cutting of soil by narrow blades. J. Terrramech. 14(2), 43–58 (1977)
K. Terzaghi, Theoretical Soil Mechanics (Wiley, New York, 1943)
A.R. Reece, The fundamental equation of earth-moving mechanics. Proc. Inst. Mech. Eng. 179, 16–22 (1964)
D.R.P. Hettiaratchi, A.R. Reece, The calculation of passive soil resistance. Geotechnique 3(24), 289–310 (1974)
O. Luengo, S. Singh, H. Cannon, Modeling and identification of soil–tool interaction in automated excavation, in Proceedings. 1998 IEEE/RSJ International Conference on Intelligent Robots and Systems. Innovations in Theory, Practice and Applications (Cat. No.98CH36190), vol 3 (1998), pp. 1900–1906
R.L. Kushwaha, L. Chi, J. Shen, Analytical and numerical models for predicting soil forces on narrow tillage tools. Can. Agric. Eng. 35(3), 183–193 (1993)
P.D. Gupta, C.P. Gupta, K.P. Pandey, An analytical model for predicting draft forces on convex-type wide cutting blades. Soil Tillage Res. 14(2), 131–144 (1989)
R.J. Godwin, G. Spoor, Soil failure with narrow tines. J. Agric. Eng. Res. 22(22), 213–228 (1977)
A.P. Onwualu, K.C. Watts, Draught and vertical forces obtained from dynamic soil cutting by plane tillage tools. Soil Tillage Res. 48(4), 239–253 (1998)
R.H. King, P.V. Susante, M.A. Gefreh, Analytical models and laboratory measurements of the soil–blade interaction force to push a narrow tool through JSC-1A lunar simulant and Ottawa sand at different cutting depths. J. Terrramech. 48(1), 85–95 (2011)
M. Parente, P. Cortez, A.G. Correia, An evolutionary multi-objective optimization system for earthwork. Expert Syst. Appl. 27(42), 6674–6685 (2015)
M. Parente, A.G. Correia, P. Cortez, A novel integrated optimization system for earthwork tasks. Transp. Res. Proc. 14(6), 3601–3610 (2016)
S. Kunaparaju, J.J.R. Jegaraj, R.K. Katta, V.R. Ghanta, Artificial intelligence based selection of optimal cutting tool and process parameters for effective turning and milling operations. J. Inst. Eng. Ser. C (2016). https://doi.org/10.1007/s40032-016-0264-7
Y.Y. Haimes, L.S. Lasdon, D.A. Wismer, On a bicriterion formulation of the problems of integrated system identification and system optimization. IEEE Trans. Syst. Man Cybern. 1(3), 296–297 (1971)
K. Deb, A. Pratap, S. Agarwal, T. Meyarivan, A fast and elitist multiobjective genetic algorithm: NSGA-II. IEEE Trans. Evolut. Comput. 6(2), 182–197 (2002)
D. Sharma, K. Deb, Generation of compliant mechanisms using hybrid genetic algorithm. J. Inst. Eng. Ser. C 95(4), 295–307 (2014)
P.K. Shukla, K. Deb, On finding multiple Pareto-optimal solutions using classical and evolutionary generating methods. Eur. J. Oper. Res. 181, 1630–1652 (2007)
D. Sharma, A. Kumar, K. Deb, K. Sindhya, Hybridization of SBX based NSGA-II and sequential quadratic programming for solving multi-objective optimization problems, in IEEE Congress on Evolutionary Computation (2007), pp. 3003–3010
A. Kumar, D. Sharma, K. Deb, A hybrid multi-objective optimization procedure using PCX based NSGA-II and sequential quadratic programming, in IEEE Congress on Evolutionary Computation (2007), pp. 3011–3018
K. Deb, A. Srinivasan, Innovization: innovating design principles through optimization, in Proceedings of the Genetic and Evolutionary Computation Conference (GECCO-2006) (The Association of Computing Machinery (ACM), New York, 2006), pp. 1629–1636
D. Sharma, On the flexible applied boundary and support conditions of compliant mechanisms using customized evolutionary algorithm, in Proceedings of Simulated Evolution and Learning—8th International Conference, SEAL 2010 (Springer, Berlin, 2010), pp. 105–114
N.J. Baishya, D. Sharma, U.S. Dixit, Optimization of pressure vessel under thermoplastic condition. J. Inst. Eng. (India) Ser. C 95(4), 389–400 (2014)
E. Jack, C. Liu, Unified soil classification system (USCS). Classification of Soils for Engineering Purposes: Annual Book of ASTM Standards 8(1), 395408 (1985)
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The authors are thankful to Indian Council for Cultural Relations for the support for studies and research.
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Barakat, N., Sharma, D. Modelling and Bi-objective Optimization of Soil Cutting and Pushing Process for Bulldozer and its Blade. J. Inst. Eng. India Ser. C 100, 129–143 (2019). https://doi.org/10.1007/s40032-017-0421-7
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DOI: https://doi.org/10.1007/s40032-017-0421-7