A Review on FEA and Optimization of Backhoe Attachment in Hydraulic Excavator

Patel, Bhaveshkumar P.; Prajapati, J. M.

doi:10.7763/ijet.2011.v3.277

Cited by 14 publications

(10 citation statements)

References 6 publications

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“…Dynamic models based on Newton-Euler equations [2] and soil-tool interactions [3] were used to predict the resistive forces exerted on the bucket during excavation. Furthermore, these predicted values were fed to the controller to plan the trajectory of the bucket [4], [5].…”

Section: Introductionmentioning

confidence: 99%

Deep Learning-Based Autonomous Excavation: A Bucket-Trajectory Planning Algorithm

et al. 2023

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The increased risk to the safety of excavator personnel and difficulty in training them, combined with a manpower shortage, have led to an increased demand for machine automation. This study applies a long short-term memory algorithm for automating a bucket-tip trajectory planning AI system. Unlike other autonomous excavation techniques, the proposed approach in this study performs the buckettrajectory planning of the excavator without prior knowledge of nonlinear bucket-soil interaction dynamics during excavation, which requires precise adjustment of parameters with the heuristic analysis of correlation between them. Based on data acquisition from excavation of excavator experts, this method uses the threedimensional point cloud of terrain and bucket motion data in excavation process for training and application of the AI. Especially, we transform the point cloud, which comprises massive number of points and increases the computation complexity, into the much smaller number of values, which are sufficient for representing the three-dimensional shape of target terrain. To ensure safety against collision with underground obstacles, a collision avoidance algorithm is applied to prevent crashes during excavations along the given path, based on continuous monitoring of the pressure in the excavator's hydraulic cylinder. Comparative experiments reveal that the bucket-tip trajectory planning AI system with the collision avoidance algorithm generates a traceable trajectory for the machine controller, equipped in the excavator, and yields the desired excavation volume and lead time without collision, regardless of the topographic change caused through successive excavations.INDEX TERMS Automated excavation, bucket-tip trajectory planning, collision avoidance algorithm, field robots, long short-term memory, point cloud data

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Section: Introductionmentioning

confidence: 99%

Deep Learning-Based Autonomous Excavation: A Bucket-Trajectory Planning Algorithm

et al. 2023

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“…Bulldozers, scrapers, graders, excavators and other machines are widely used for most arduous earth moving work in construction engineering. Thus, it is really necessary for the designers to provide not only equipment of maximum reliability but also of minimum weight and cost, keeping the design safe under all loading conditions by performing careful stress analyses of machines [1,2].…”

Section: Introductionmentioning

confidence: 99%

“…FEA is the most powerful technique for calculations of strength of the structures working under some known load and boundary conditions [2]. The implementation of the FEA makes the identification of weak components of towed grader attachments possible because a strength analysis is performed.…”

Section: Introductionmentioning

confidence: 99%

Reliability Estimation of Towed Grader Attachment Using Finite Element Analysis and Point Estimation

Dumitrascu

Morariu

Dumitrascu

et al. 2018

TFAMENA

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The paper presents an analysis of the reliability of front blade, rear blade and frame of the towed grader as well as experimental validation of the results obtained from the finite element analysis. The analyzed prototype was designed for maintenance and repair of forest roads and equipped with two types of blades for cleaning and levelling the ground surface. Lifetimes of towed grader attachments can be estimated with high accuracy using threeparameter Weibull distribution. The values of the location parameter γ were determined by using the maximum values of the correlation coefficient, while the method of maximum likelihood was used for the point estimation of the parameters. Because higher values of the shape parameter had been obtained, the point estimation and estimation with confidence intervals of components lifetimes were performed. The analysis of the results indicates that the used assumptions may not fully take the complex stresses encountered in use into account.

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“…Bucket penetration into a material is achieved by the digging force generated by the arm cylinder, and the digging force generated by the bucket cylinder [6][7]. This paper presented the working way generated by the bucket cylinder, so the digging force generated by the bucket cylinder is: …”

Section: Comparison Of the Force At Point Kmentioning

confidence: 99%

Study on Spatial Mechanics Analysis Method of Excavator Attachment with Tiltrotator

Penglong¹,

Lu²,

Xu³

et al. 2017

Proceedings of the 3rd Annual International Conference on Mechanics and Mechanical Engineering (MME 2016)

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Abstract. Usually a tiltrotator is mounted on the excavator such that the bucket of excavator can not only move in the plane of the excavator attachment, but also deviate from the plane. However, this generated additional bending moment and torque, and what was more, the traditional design method, which is used to design the excavator attachment without considering the tiltrotator, based on the condition that the bucket moved in the plane (in two dimensions) of the attachment is no longer suitable for the excavator with tiltrotator. In order to solve this problem, according to the equilibrium equations of spatial (in three dimensions) force system and matrix theory, linkage groups of excavator attachment with tiltrotator have been decomposed and analysed with the spatial static load. Through theoretical derivation, a suitable calculation method and a calculation process, which can be applied to the analysis of the spatial force, are obtained to solve the problem of the force analysis of the different parts of the excavator attachment with tiltrotator. Then the calculation results, which based on the calculation method in this paper, of bucket hinge points are compared with the results of the classical force analysis in the plane. The results show that analysis results based on the calculation method in this paper are not only correct, but also compatible with the plane force analysis.

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A Review on FEA and Optimization of Backhoe Attachment in Hydraulic Excavator

Cited by 14 publications

References 6 publications

Deep Learning-Based Autonomous Excavation: A Bucket-Trajectory Planning Algorithm

Deep Learning-Based Autonomous Excavation: A Bucket-Trajectory Planning Algorithm

Reliability Estimation of Towed Grader Attachment Using Finite Element Analysis and Point Estimation

Study on Spatial Mechanics Analysis Method of Excavator Attachment with Tiltrotator

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