2,230 research outputs found
Grid Services for Multi-objective Optimisation
No full textOrganised by: Cranfield UniversityThe emerging grid technology is defined as an infrastructure for secure and coordinated large-scale
resource sharing. In this paper, we describe the architecture and grid services of DECGrid. DECGrid
enables distributed design experts to collaborate and share resources during design optimisation.
Mathematical models are built using services by experts. These models are then directly linked to NSGA-II
optimisation algorithm service and allow design experts to enter design parameters of their choice. A real-life
case study-welded beam problem was used to validate the prototype. The results obtained showed a wider
spread in the solution space compared to the results in literature.Mori Seiki – The Machine Tool Compan
Mechanical Characterization of Hybrid Fiber Reinforced Composite
No full textNatural fiber is mostly used in automobile and aerospace industry. Currently most used in natural fiber reinforcement are sisal, flex, hemp, and banana. The natural fiber is mined by using manual and retting processes. The agricultural waste can be used to prepare fibers it has major advantage is renewable resources and have marketing demand. The polymer composite have many advantage such as mechanical strength such as tensile, impact and flexural strength over traditional glass fiber and monogenic materials. In this paper to fabricate the polymer composite with using on sisal and banana reinforcement with treated with NAOH solution. These processes are enhancing the bonding strength between fiber and resin by removing moisture contents. After fabricated polymer composite to prepare the samples as per ASTM standard, the samples are tested for different composition of sisal, banana and sisal banana reinforced composites. M. Palpandi | T. Ramakrishnan | T. Rajkumar "Mechanical Characterization of Hybrid Fiber Reinforced Composite" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-2 | Issue-4 , June 2018, URL: https://www.ijtsrd.com/papers/ijtsrd14165.pd
Educating T-shaped Design, Business and Engineering Professionals
No full textOrganised by: Cranfield UniversityThe paper provides an insight into the International Design Business Management Program (IDBM), an
attempt to educate T-shaped professionals who can combine design, business and technology knowledge.
IDBM is creating a new master program, in which solid theoretical basis, delivery methods, and structure are
being developed to improve both coherence and relevance within the curriculum. To contribute to the
coherence of systemic competence development, a model of five major dimensions – tools, environment,
management, process, organisation (TEMPO) – is proposed. To ensure the relevance of the program, four
professional orientation tracks are built into the curriculum; research, management, consulting and
entrepreneurship.Mori Seiki – The Machine Tool Compan
Not Available
No full textBook Chapter. Book Title: Coastal Agricultural Resource Inventory: An overview and way forward. (2020). Ed(s): Chakurkar E. B., Desai A. R., Thangam M., Manohara K. K., Shivasharanappa N., Gokuldas P.P., Rajkumar R. S., Mahajan G. R., Susitha R., Vishwanatha Reddy K., Sreekanth G. B., Paramesha V., Das B., Desai S., Chethan Kumar H. B., Mayekar T. and Nayak N. ICAR–CCARI, Old Goa, Goa, India. ISBN - 978-93-5406-829-4, pp: 1-288.Not AvailableNot Availabl
Uncertainty challenges in service cost estimation for product- service systems in the aerospace and defence industries
No full textOrganised by: Cranfield UniversityContracting for availability is expected to become more prevalent for product -service systems (PSS) in the
aerospace and defence industries. These contracts tend to transfer responsibilities for the operational phase
from the customer to the supplier. In parallel, with operational life spans spanning several decades, the
ability to deal with uncertainty in cost estimation for support activities is becoming critical. This paper outlines
challenges within this process derived from literature as well as issues that were highlighted during
interviews with four major defence and aerospace organisations.Mori Seiki – The Machine Tool Compan
Protective association of A-T-T haplotype of <i>DMT1</i> gene against risk of human age-related nuclear cataract
No full textBackground: Age-related cataract (ARC) is profoundly associated with oxidative stress. Iron plays a pivotal role in generating oxidative stress and promoting deleterious irreversible damage to the macromolecules. Divalent metal transporter 1 (DMT1) mediates the uptake of iron into the cell. Aberrant transcript expression of DMT1 gene in lenses of human ARC was reported. The present investigated the genetic association between DMT1 gene polymorphisms and risk of ARC. Methods: DNA from peripheral blood of ARC subjects (n = 764) and age-matched controls (n = 794) was isolated. Genotyping of three single-nucleotide polymorphisms (SNPs) – rs224589 (C/A), rs1048230 (T/C), and rs2285230 (T/C) – of DMT1 gene was performed by polymerase chain reaction (PCR)-restriction fragment length polymorphism technique. Level of DMT1 transcript expression was determined by quantitative real-time PCR analysis using RNA from lens epithelial and fiber cells. Results: Nuclear cataract showed a higher frequency of CC genotypes (OR = 1.40; 95%CI = 1.01–1.95; p = 0.04) of SNP rs224589 and a significantly lower frequency of A-T-T haplotype (OR = 0.63; 95%CI = 0.42–0.92; p = 0.02) than that of controls. The A-T-T haplotype demonstrated a dominant protective effect against disease risk when compared to the more common haplotype (C-T-T) (p = 0.01). The haplotype pairs C-T-T/C-T-T and A-C-C/A-C-C showed higher level of transcript expression of DMT1 than C-T-T/A-T-T haplotype pair (p G; p.N443S) in exon 3 of DMT1 gene was observed in a subject with nuclear cataract. Conclusions: The results highlighted a protective association of A-T-T haplotype against the risk of ARC.</p
DandeBot - An Autonomous Weeding Solution for Residential Lawns
No full textDandeBot – An Autonomous Weeding Solution for Residential Lawns
Author: Nishanth Rajkumar
This thesis presents the development and validation of DandeBot, an autonomous robotic system designed for comprehensive residential lawn maintenance. The robot addresses the need for efficient, eco-conscious, and low maintenance lawn care through a fully electric platform powered by an AI-driven software stack. Emphasizing safety, adaptability, and ease of use, the hardware was developed using CAD and Design for Manufacturing (DFM) principles, resulting in a modular and robust design. The integrated software stack combines localization, mapping, and path planning using odometry, visual odometry, and IMU data fusion to navigate dynamic outdoor environments. Task-specific algorithms were developed and validated for autonomous navigation, weed detection, and obstacle avoidance. Key hardware innovations include a modular gripper system for weed removal and adaptable attachments for multiple lawn care tasks. Field trials confirmed the robot’s capability to perform with high precision and reliability in varied lawn conditions, significantly reducing the need for human intervention. This work contributes to the growing field of service robotics by demonstrating how intelligent systems can automate routine household maintenance. The thesis concludes by outlining future research directions, including system scalability, enhanced multi-tasking capabilities, and integration with smart home networks
A study in grid simulation and scheduling
No full textGrid computing is emerging as an essential tool for large scale analysis and problem solving in scientific and business domains. Whilst the idea of stealing unused processor cycles is as old as the Internet, we are still far from reaching a position where many distributed resources can be seamlessly utilised on demand. One major issue preventing this vision is deciding how to effectively manage the remote resources and how to schedule the tasks amongst these resources. This thesis describes an investigation into Grid computing, specifically the problem of Grid scheduling. This complex problem has many unique features making it particularly difficult to solve and as a result many current Grid systems employ simplistic, inefficient solutions. This work describes the development of a simulation tool, G-Sim, which can be used to test the effectiveness of potential Grid scheduling algorithms under realistic operating conditions. This tool is used to analyse the effectiveness of a simple, novel scheduling technique in numerous scenarios. The results are positive and show that it could be applied to current procedures to enhance performance and decrease the negative effect of resource failure. Finally a conversion between the Grid scheduling problem and the classic computing problem SAT is provided. Such a conversion allows for the possibility of applying sophisticated SAT solving procedures to Grid scheduling providing potentially effective solutions
Design and Manufacturing Uncertainties in Cost Estimating within the Bid Process: Results from an Industry Survey
No full textOrganised by: Cranfield UniversityThis paper discusses the issues of the bidding process with emphasis on the design and manufacturing
uncertainties that can occur. The context of the paper is within manufacturing companies and in particular
within the Defence sector. The paper presents the bidding process of a large Manufacturing company and
details the main challenges and uncertainties that may occur. It also discusses the methods that are
currently used to tackle uncertainty. The results of an industry survey compare the practices of other
manufacturing companies and highlight the challenges at the bidding stage. The paper concludes that the
development of an appropriate framework is necessary in order to effectively manage uncertainty at the bid
stage.Mori Seiki – The Machine Tool Compan
Work Roll Cooling System Design Optimisation in Presence of Uncertainty
No full textOrganised by: Cranfield UniversityThe paper presents a framework to optimise the design of work roll based on the cooling performance. The
framework develops Meta models from a set of Finite Element Analysis (FEA) of the roll cooling. A design of
experiment technique is used to identify the FEA runs. The research also identifies sources of uncertainties
in the design process. A robust evolutionary multi-objective algorithm is applied to the design optimisation I
order to identify a set of good solutions in the presence of uncertainties both in the decision and objective
spaces.Mori Seiki – The Machine Tool Compan
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