Physical and Mechanical Properties of Cucumber Applied to Seed Extractor

Said, Ibrahim; Atallah, Mervat M.; Khalil, K. S.; El-Lithy, A. M.

doi:10.21608/jssae.2011.55669

Cited by 3 publications

(1 citation statement)

References 1 publication

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“…Each primitive had a 10 mm-thick slice, centered along the long axis, that defined the volumetric region that could be cut. All regions were assigned an isotropic elastic failure material model, with density, Lamé parameters (see Table A1), yield stress, and failure strain obtained from the agricultural mechanics literature [17,44,61] and the FoodData Central database from the U.S. Department of Agriculture [81]. The nonslice regions were simulated using FEM with a tetrahedral mesh-based discretization.…”

Section: B Commercial Simulation Setupmentioning

confidence: 99%

DiSECt: A Differentiable Simulation Engine for Autonomous Robotic Cutting

Heiden

Macklin

Narang

et al. 2021

Robotics: Science and Systems XVII

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Robotic cutting of soft materials is critical for applications such as food processing, household automation, and surgical manipulation. As in other areas of robotics, simulators can facilitate controller verification, policy learning, and dataset generation. Moreover, differentiable simulators can enable gradient-based optimization, which is invaluable for calibrating simulation parameters and optimizing controllers. In this work, we present DiSECt: the first differentiable simulator for cutting soft materials. The simulator augments the finite element method (FEM) with a continuous contact model based on signed distance fields (SDF), as well as a continuous damage model that inserts springs on opposite sides of the cutting plane and allows them to weaken until zero stiffness, enabling crack formation. Through various experiments, we evaluate the performance of the simulator. We first show that the simulator can be calibrated to match resultant forces and deformation fields from a state-of-the-art commercial solver and real-world cutting datasets, with generality across cutting velocities and object instances. We then show that Bayesian inference can be performed efficiently by leveraging the differentiability of the simulator, estimating posteriors over hundreds of parameters in a fraction of the time of derivativefree methods. Finally, we illustrate that control parameters in the simulation can be optimized to minimize cutting forces via lateral slicing motions. We publish videos and additional results on our project website at https://diff-cutting-sim.github.io.

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Section: B Commercial Simulation Setupmentioning

confidence: 99%

DiSECt: A Differentiable Simulation Engine for Autonomous Robotic Cutting

Heiden

Macklin

Narang

et al. 2021

Robotics: Science and Systems XVII

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DiSECt: a differentiable simulator for parameter inference and control in robotic cutting

et al. 2023

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DETERMINATION OF SOME PHYSICAL AND MECHANICAL PROPERTIES OF SUMMER SQUASH (cucurbita pepo) RELATED TO POST-HARVESTING PROCESSES.

El-maaty

Ashour²

2021

Misr Journal of Agricultural Engineering

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The present work aims to study some physical and mechanical properties of squash fruit (Cucurbita pepo), to serve as a database to be used in the design and development of machines used in postharvest processes such as extraction machines for squash fruit. The main results in this study can be summarized as follows: The average fruit length and diameter were 238.72 and 92.17 mm respectively. The average volume. was 819.26 cm 3 . The average mass was 614.34 g. The fruit's real density of the sample ranged between 0.72 and 1.3 g/cm 3 (average 0.8 g/cm 3 ). The fruit projected area of the sample ranges between 187.53 and 257.5cm 2 (average 219.97 cm 2 ). The maximum friction angle of 30 degree and the rolling angle of 27 degree were obtained with the wood surface. Whereas, the minimum friction and rolling angles of 19 and 13 degree respectively, were obtained with aluminum surface. The maximum and minimum penetration forces were 48.88 and 44.5 N, respectively. The firmness distribution along the squash surface at 10 and 5mm from the top of the fruit were 115.68 and 105.33N/cm 2 , respectively. The maximum, minimum and average axial cutting forces of squash fruits were 68, 35 and 43.75N, respectively. The data obtained were subjected to descriptive statistics such as range (maximum "Max" and minimum "Min"), mean, standard deviation (SD), coefficient of variation (CV), frequency distribution, and coefficient of correlation by using a spreadsheet software program (Microsoft Excel 365) .

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Physical and Mechanical Properties of Cucumber Applied to Seed Extractor

Cited by 3 publications

References 1 publication

DiSECt: A Differentiable Simulation Engine for Autonomous Robotic Cutting

DiSECt: A Differentiable Simulation Engine for Autonomous Robotic Cutting

DiSECt: a differentiable simulator for parameter inference and control in robotic cutting

DETERMINATION OF SOME PHYSICAL AND MECHANICAL PROPERTIES OF SUMMER SQUASH (cucurbita pepo) RELATED TO POST-HARVESTING PROCESSES.

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