scispace - formally typeset
Search or ask a question
Author

Andrea Cadamuro

Bio: Andrea Cadamuro is an academic researcher from McMaster University. The author has contributed to research in topics: Wildlife & Web server. The author has an hindex of 1, co-authored 1 publications receiving 84 citations.

Papers
More filters
Journal ArticleDOI
TL;DR: In this paper, a group of cubes were fabricated using different process parameters from Invar 36 powder using a selective laser melting machine, and the density, microstructures, and surface features of these cubes were measured.
Abstract: Invar 36 has gained considerable popularity in many industries, including the aerospace industry, because of its low coefficient of thermal expansion. In this paper, a brief overview for the research needs in metal additive manufacturing is presented. A thorough study for the influence of process parameters on the quality of the parts produced is presented. This study is beneficial for the long-term growth of the additive manufacturing industry. The paper aims to select the process parameters that can be used to fabricate dense parts from Invar 36 (UNS K93600) using the selective laser melting process. In this research, a group of cubes was fabricated using different process parameters from Invar 36 powder using a selective laser melting machine. The density, microstructures, and surface features of these cubes were measured. Experimental observations were drawn from the results of the preliminary analyses. The influence of the process parameters on the density of the parts produced is discussed in this paper.

127 citations

Journal ArticleDOI
TL;DR: InfoFaunaFVG as discussed by the authors is a wildlife monitoring and surveillance data repository system based on a progressive web application and reported the data gathered in the first two and a half years of its use.
Abstract: Abstract The Department of Agricultural, Food, Environmental and Animal Sciences (DI4A) at the University of Udine, in collaboration with Friuli Venezia Giulia regional authorities, within northeastern Italy, set up a wildlife monitoring and surveillance regional network, named InfoFaunaFVG. Here we describe the development and application of this data repository system based on a novel progressive web application, and report the data gathered in the first two and a half years of its use. InfoFaunaFVG is made of a Web Database and an integrated WebGIS system. In particular, the following open source softwares are used: Apache HTTP Server, Oracle MySQL, Symfony, Apache Tomcat, GeoServer, OpenLayers. The web app can be accessed from any web browser or by installing the progressive web application in the desktop or mobile devices. In short, operating from November 2019, InfoFaunaFVG currently (April 2022) contains a total of 40,175 records, from 300 different users, from 16 institutions. Among all species recorded, mammals were 40% (16,018) of the total, whereas avian species represented 59% (23,741), and others (reptiles and amphibians) 1% (416), respectively. Two hundred twenty-six different species (175 avian and 51 mammals) were recorded. Details about causes of death and live animal rescue were reported. To date, InfoFaunaFVG has proven to be a successful wildlife data repository system providing high quality consistent, accurate and traceable data. These had a considerable impact on regional wildlife governance. In the authors’ knowledge, InfoFaunaFVG is the first example described in literature of such a progressive web application, coordinated on an institutional level, and not based on voluntary-citizen observations. InfoFaunaFVG has the potential to become the largest wildlife monitoring and surveillance data repository system on a national level.

Cited by
More filters
Journal ArticleDOI
TL;DR: A comprehensive review of metal additive manufacturing in the aerospace industry can be found in this paper, where the primary application scenarios and the associated commercial and technical benefits of additive manufacturing for these applications are summarized.

494 citations

Book ChapterDOI
01 Jan 2019
TL;DR: Additive manufacturing (AM) is transforming all segments of the aerospace industry, including commercial and military aircraft, space applications, as well as missiles systems as mentioned in this paper, due to the unique ability of AM to produce parts with complex designs, reduce manufacturing costs (material waste, assembly due to part consolidation, and the need for tools and fixtures), and fabricate parts with premium materials with small production runs.
Abstract: Additive manufacturing (AM) is transforming all segments of the aerospace industry, including commercial and military aircraft, space applications, as well as missiles systems. Such transformation is due to the unique ability of AM to produce parts with complex designs, reduce manufacturing costs (material waste, assembly due to part consolidation, and the need for tools and fixtures), and fabricate parts with premium materials with small production runs and short turnaround times. AM allows the realization of advanced part designs that provide additional space, multifunctional parts, multimaterial parts, part consolidation, and parts that are difficult to machine. The capability of AM to fabricate freeform designs makes it very suitable for the aerospace industry. To date, aerospace companies, such as Boeing, have installed tens of thousands AM parts (including 200 unique nonmetallic part references) on 16 commercial and military aircraft. It has also started the production of titanium AM parts that will allow savings of up to three million USD per aircraft in the near future. GE Aviation is using metal AM to manufacture thousands of fuel nozzles annually for its new LEAP engine. Similarly, Airbus is utilizing metal AM brackets and bleed pipes on its aircraft. It is currently collaborating with Arconic on the production of large-scale AM airframe components and expects to produce 30 t of AM metal parts by December 2018. The main applications of AM in the aerospace industry are rapid prototyping, rapid tooling, and repair, as well as direct digital manufacturing (DDM) of parts made of metal, plastic, ceramic, and composite materials. Currently, the fastest growing application is DDM (final part manufacturing). For metal parts, the main AM technologies in aerospace applications are directed energy deposition and powder bed fusion. For nonmetallic parts, the dominant AM technologies are vat photopolymerization, material jetting, and material extrusion. This chapter reviews the applications, benefits, and opportunities of AM for the aerospace industry, describes the relevant AM technologies, and discusses the current challenges and potential applications.

251 citations

Journal ArticleDOI
TL;DR: In this paper, the process-structure-property relationship for selective laser melting of Invar 36 and stainless steel 316L is discussed, and an optimum process window has been suggested based on experimental work.

135 citations

Journal ArticleDOI
TL;DR: In this paper, the influence of aging temperature and aging time on the microstructure, mechanical property (hardness, strength and ductility) and tribological property of SLM maraging 18Ni-300 steel was studied.
Abstract: Selective laser melting (SLM) is an additive manufacturing and 3D printing technology which offers flexibility in geometric design and rapid production of complex structures. Maraging steels have high strength and good ductility, and therefore have been widely used in aerospace and tooling sectors for many years. This work aims to study the influence of aging temperature and aging time on the microstructure, mechanical property (hardness, strength and ductility) and tribological property of SLM maraging 18Ni-300 steel. The results reveal that the aging conditions had a significant impact on the strength and wear-resistance of the SLM maraging steel. The optimal aging conditions for the SLM maraging steel produced in this work were 490 °C for 3 h under which strength and wear-resistance were maximised. Lower or higher aging temperature led to under-aging or over-aging phenomena, reducing the strength and wear-resistance performance. Shorter or longer aging time also resulted in the decrease of strength and wear-resistance performance of the SLM maraging steel as compared with the optimal conditions. The variation of the mechanical and tribological properties is primarily due to changes in phase compositions and microstructures of the SLM maraging steels.

128 citations

Journal ArticleDOI
TL;DR: In this paper, the use of a neuro-fuzzy-based machine learning method for predicting the high cycle fatigue life of laser powder bed fusion stainless steel 316L was examined.

112 citations