Swarm manufacturing is a new paradigm for distributed manufacturing, where an army of mobile manufacturing robots are employed to manufacture desired products cooperatively. Cooperative 3D printing (C3DP) is a primitive form of swarm manufacturing, where multiple mobile 3D printing robots work together cooperatively to print the desired part, representing a major step towards enabling swarm manufacturing. At the core of C3DP lies the chunk-based printing strategy. This strategy splits the desired part into small chunks. The chunks are then assigned and scheduled to be printed by individual printing robots. In our previous work, we presented various hardware and software components of C3DP, such as mobile 3D printers, chunk-based slicing, scheduling, and simulation. This paper presents a fully integrated and functional C3DP platform with all necessary components and outlines how they work in unison from a system-level perspective. Specifically, the new architecture of hardware and software includes a set of new chunking strategies, a scalable scheduler for multi-robot printing, a SCARA-based printing robot, a mobile platform for robot transportation, a system of modular floor tiles, and a charging station for the mobile platform. Finally, we demonstrate the capability of the system using two case studies with successful large-scale prints.
Cooperative 3D printing (C3DP) is a novel approach to additive manufacturing, where multiple mobile 3D printing robots work together cooperatively to print the desired part. At the core of C3DP lies the chunk-based printing strategy. This strategy splits the desired part into smaller chunks, and then the chunks are assigned and scheduled to be printed by individual printing robots. In our previous work, we presented various hardware and software components of C3DP, such as mobile 3D printers, chunk-based slicing, scheduling, and simulation. In this study, we present a fully integrated and functional C3DP platform with all necessary components, including chunker, slicer, scheduler, printing robots, build floor, and outline how they work in unison from a system-level perspective. To realize C3DP, new developments of both hardware and software are presented, including new chunking approaches, scalable scheduler for multiple robots, SCARA-based printing robots, a mobile platform for transporting printing robots, modular floor tiles, and a charging station for the mobile platform. Finally, we demonstrate the capability of the system using two case studies. In these demonstrations, a CAD model of a part is fed to the chunker, divided into smaller chunks, passed to the scheduler, and assigned and scheduled to be printed by the scheduler with a given number of robots. The slicer generates G-code for each of the chunks and combines G-code into one file for each robot. The simulator then uses the G-code generated by the slicer to generate animations for visualization purposes.
The vehicle fuel market has a very high demand and involves a significant financial volume, being a great target for fraudsters. Criminals alter fuel pumps in order to reduce the amount delivered to the customer. In this context, this work proposes a solution for metrological surveillance of fuel supply companies based on built-in vehicle sensors. A Kotlin API was developed to collect vehicle data from an OBD-II reader (On-Board Diagnostics) that establishes communication between the vehicle and a computational cloud established by a mobile application prototype (Android operating system). The application was developed to detect supply events and inform the user if the volume filled corresponds to the amount paid. Resumo:O mercado de combustível para veículos possui uma demanda muito grande e envolve um volume financeiro significativo, sendo um grande alvo para fraudadores. Criminosos alteram as bombas de combustível com o objetivo de reduzir a quantidade entregue ao cliente. Nesse contexto, este trabalho propõe uma solução para a vigilância metrológica de empresas de abastecimento de combustível com base em sensores embutidos do veículo. Uma API Kotlin foi desenvolvida para coletar dados veiculares a partir de um leitor OBD-II (On-Board Diagnostics) que estabelece a comunicação entre o veículo e uma nuvem computacional estabelecida por um protótipo de aplicativo móvel (sistema operacional Android). A aplicação foi desenvolvida para detectar eventos de reabastecimento e informar ao usuário se o volume abastecido corresponde ao valor pago.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.