Material oriented crash-box design – Combining structural and material design to improve specific energy absorption

Wesselmecking, Sebastian; Kreins, M.; Dahmen, Martin; Bleck, Wolfgang

doi:10.1016/j.matdes.2021.110357

Cited by 14 publications

(4 citation statements)

References 30 publications

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“…Simulation results outline the great potential of a combining structural design and material design with a high total specific energy absorption of 27 kJ/kg. The tension parts, made of fully recrystallized HMnS, developed an outstanding specific energy absorption of 67 kJ/kg [18].…”

Section: Literature Reviewmentioning

confidence: 99%

“…Also, these can find optimal solution in difficult and complex optimization problems [16,24]. The objective function of the crashworthiness problem is used as specific energy absorption [18,24], energy absorption [9,10,22], area in between displacement curve [24,25], strain energies weighted at specified times [19] etc. Other objective functions suggested are internal energy, mass, maximum force, maximum acceleration and time for wall to stop [24].…”

Section: Literature Reviewmentioning

confidence: 99%

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Particle swarm optimization of star crash box

Chhantyal,

Maharjan

2023

Jnl Innov. Engin. Educ.

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Crash box is energy-absorbing component to ensure the passive safety of vehicles during frontal crash. For crash-boxes - lightweight design, safety requirements absorbing energy are relevant. This research aims to determine the value of geometric design parameters in design space of star crash box optimizing specific energy absorption (SEA). The geometric modelling, meshing and finally input file for LS dyna is created using python scripting. Crash simulation is performed in LS Dyna. The energy absorption is taken from glstat of binout file and mass is taken from massout file. The particle swarm optimization is done using skopt python module. The geometric design parameters used are height (a), width (b), x-intrusion (u), y- intrusion (v) and thickness (t). For each simulation reference material Mild steel with density 7830 kg/m3, Young’s modulus 200 GPa and cowper-symond parameters c = 40s-1 and p = 5 is used. The impactor of 250 kg mass with speed of 15 mm/ms is used. After running simulations in batch mode, the maximum SEA of 63777.547 J/Kg is obtained at the values a = 72.291 mm, b = 75.314 mm, u = 20.162 mm, v = 4.978 mm and t = 0.985.

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Section: Literature Reviewmentioning

confidence: 99%

Section: Literature Reviewmentioning

confidence: 99%

Particle swarm optimization of star crash box

Chhantyal,

Maharjan

2023

Jnl Innov. Engin. Educ.

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“…Austenitic high-manganese steels show outstanding properties such as high strain hardening, high energy absorption, and high ductility. [1][2][3] Therefore, high-manganese steels are promising next-generation structural materials in automotive and aerospace industries. [4][5][6][7] The high ductility is in particular based on their deformation mechanisms: transformation-induced plasticity (TRIP) and twinning-induced plasticity (TWIP).…”

Section: Introductionmentioning

confidence: 99%

Dynamic and Static Strain Aging in a High‐Manganese Steel

Wesselmecking

Song

Bleck

2022

steel research int.

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Carbon‐containing high‐manganese steels are susceptible to strain aging, which influences the mechanical properties during and after deformation. To understand the strain aging behavior of austenitic Fe‐22Mn‐1.3Al‐0.3C high‐manganese steel, dynamic as well as static strain aging are examined. Dynamic strain aging, occurring during deformation, is quantified by tensile tests at different strain rates. The strain localization during straining is analyzed by digital image correlation. A decrease in strain rate increases the tensile strength and influences the onset of a serrated flow. Static strain aging is quantified by interrupted tensile tests, combined with digital image correlation and small‐angle neutron scattering (SANS). The yield strength increases due to static strain aging at room temperature within the period of days. The samples show extended yield point (yield point elongation) and the effect strengthens at higher pre‐deformation. With SANS, evidence of carbon‐manganese ordering (C–Mn ordering) during aging is obtained and correlated.

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“…Te methods to achieve lightweight can be classifed into four categories: (1) the materials with higher stifness, better energy absorption, and lower density are utilized to replace traditional materials individually or as a whole [20], (2) a more mature processing technology is adopted to guarantee the material properties do not change while operating the plates connected [21], (3) the objective optimization is carried out in the aspects of topological, structural, and size via leveraging fnite element techniques [22,23], and (4) a novel approximate model construction method is adopted to improve the accuracy of the approximate model. In addition, the lightweight design of the vehicle is realized by integrating it into a new or improved algorithm [24,25].…”

Section: Introductionmentioning

confidence: 99%

Multiobjective Lightweight Optimization Design Method for a Dump Truck Carriage under Multiple Working Conditions

Zhang

Zeng

Zhang

et al. 2022

Mathematical Problems in Engineering

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To reduce the transportation cost and improve the fuel economy of a dump truck in road transport, vehicle lightweight optimization with the objectives such as the mass, stiffness, and sixth-order frequency of the carriage is adopted in this study. First, the carriage is divided into finite element meshes, and the working conditions of the carriage are analyzed under the conditions of full-load and uniform transportation, 0° lift, and 30° lift. Then, a comprehensive model consisting of full-load uniform transport and 0° lifting dual conditions is established, and 18 plate thicknesses are defined as design variables. The samples derived from the design variables of the carriages via the optimal Latin hypercube method are employed to analyze, in which the design variable that critically impacts the optimization objective is screened out from the sample for research. In addition, the dual-case approximation model constructed by a variety of methods is executed for accuracy comparison. And a moving least squares method combining linear and specific numerical values with the highest accuracy is selected to build a dual-case approximation model for the carriage. Ultimately, on the basis of the constructed double-condition approximation model, a multiobjective genetic algorithm is utilized to optimize the mass, bending stiffness, and sixth-order frequency. Compared with other methods, the multiobjective genetic algorithm can maintain the optimal solution, and the stored optimal solution can also be introduced into other groups to obtain another optimal solution. The simulation results, obtained from the scenarios of the carriage under the conditions of full-load uniform transportation, 0° lift and 30° lift, reveal that, on the basis of keeping the shape and structure of the original carriage unchanged, the mass is reduced by 1.215 t, the overall bending stiffness of the carriage is increased by 16300 N·mm−1, and the sixth-order modal frequency is optimized.

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Material oriented crash-box design – Combining structural and material design to improve specific energy absorption

Cited by 14 publications

References 30 publications

Particle swarm optimization of star crash box

Particle swarm optimization of star crash box

Dynamic and Static Strain Aging in a High‐Manganese Steel

Multiobjective Lightweight Optimization Design Method for a Dump Truck Carriage under Multiple Working Conditions

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