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Customizable and Optimized Drill Bits Bio–inspired from Wood–Wasp Ovipositor Morphology for Extraterrestrial Surfaces

Alkalla, Mohamed, Gao, Yang and Bouton, Arthur (2019) Customizable and Optimized Drill Bits Bio–inspired from Wood–Wasp Ovipositor Morphology for Extraterrestrial Surfaces In: 2019 IEEE/ASME International Conference on Advanced Intelligent Mechatronics (AIM 2019), 08-12 Jul 2019, Hong Kong Science Park, Hong Kong, China.

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Abstract

As massive scientific information is trapped inside the geologic formation of planetary bodies, the objectives of most exploration missions mainly involve sampling, in-situ testing and analyzing of the cutting’s formation for seeking any sign of primitive life or resources. This can be accomplished by subsurface exploration by specific drilling techniques which entail challenges that are apparently more complex than drilling on the earth. One of these challenges is the low-gravity that should be compensated by the over-head mass of the drilling system. This excessive mass represents a burden during launching the mission. Therefore, it is necessary to choose an energy efficient and light-weight drilling system capable of reaching high depths. This article focuses on optimizing drill bit geometry (i.e., profiles, cross-sections, and teeth) of the bio-inspired wood-wasp drill for targeting new potential depths into the Martian regolith and reducing its drilling time. Different morphological designs of the drill bit are generated and experimentally tested for their drilling feasibility into fine and coarse-grain Martian regolith. A Comparison between old and new proposed drill bits is presented, based on drilling time, consumed power, and slope of depth-time curve. The proposed designs show a significant reduction of the drilling time between 20% to 56.5% over the old one, while the required over-head mass (OHM) and power to penetrate 760mm depth is only 3kg and 45 watts, respectively. This practical work reveals the necessity of getting customizable drill bits for each single location of the extraterrestrial surfaces even on Moon or Mars based on its unique character which can be categorized as soft and hard formulations.

Item Type: Conference or Workshop Item (Conference Paper)
Divisions : Faculty of Engineering and Physical Sciences > Electronic Engineering
Authors :
NameEmailORCID
Alkalla, Mohamedm.alkalla@surrey.ac.uk
Gao, YangYang.Gao@surrey.ac.uk
Bouton, Arthura.bouton@surrey.ac.uk
Date : 12 October 2019
Funders : Engineering and Physical Sciences Research Council (EPSRC)
DOI : 10.1109/AIM.2019.8868816
Grant Title : Industry Strategic Challenge Fund (ISCF) for Robotics and AI Hubs in Extreme and Hazardous Environments.
Copyright Disclaimer : © 2019 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
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Additional Information : Printed conference proceedings published by Curran Associates Inc.
Depositing User : Clive Harris
Date Deposited : 16 Sep 2019 12:42
Last Modified : 07 Nov 2019 12:08
URI: http://epubs.surrey.ac.uk/id/eprint/852633

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