David Cascales Fulgencio

About

At PLD Space, I am involved in the design and development of manufacturing tooling for the TEPREL-C engines, supporting the entire process from preliminary concept definition through detailed design and production. I work extensively with Siemens NX and Teamcenter to generate high-fidelity 3D CAD models and fully dimensioned 2D engineering drawings, in compliance with applicable technical standards, while defining critical parameters such as material specifications, geometric dimensioning and tolerancing (GD&T), and functional interfaces.

I hold a Master’s degree in Industrial Engineering from the Escuela Técnica Superior de Ingeniería Industrial and have previous experience at Goodridge Ltd, where I developed strong expertise in mechanical design, design-for-manufacture principles, and technical problem-solving in demanding engineering environments. My objective is to contribute rigorous engineering solutions and technical innovation to projects that advance propulsion systems and aerospace technologies.

Work

Payload Aerospace, S.A.
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Tooling Engineer Propulsion

Elche, Alicante, Spain

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Full time

Summary

• Tooling 3D model design for the development of the TEPREL-C family engines, such as the several combustion chambers’ electroplating processes tooling, CNC machining processes tooling, welding tooling, and integration tooling for the different engines’ units, from concept through to production, using Siemens NX and Teamcenter. • Performance of linear static calculations on welded assemblies with Altair Inspire. • Production of fully detailed 2D drawings as per the relevant standard. • Specification of components’ parameters as per the relevant standards, including materials, heat treatments, welding specifications, surface finishes and GD&T. • Producing and updating Bill Of Materials (BOMs). • Familiar with (ITAR), 22 C.F.R. §§ 120–130 (U.S., 1968, as amended) and (EU) 2021/821, of 20 May 2021 (EU Dual-Use Regulation). • Liaison with production and purchasing to ensure the fulfillment of deadlines in the design and manufacture of the tooling.

Goodridge, Ltd.
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Design Engineer

Valencia, Valencia, Spain

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Full time

Summary

• Fluid transfer systems’ 3D model design, such as threaded hydraulic fittings, plug-in fittings, couplings, pipes, and hoses, from concept through to production, using SolidWorks and SolidWorks PDM. • Liaison with the customer for the development of bespoke components. • Production of fully detailed 2D drawings as per the relevant standard. • Specification of components’ parameters as per the relevant standards, including materials, heat treatments, welding specifications, surface finishes and GD&T. • Producing and updating Bill Of Materials (BOMs). • Gauges and fixtures design for tolerance checking and pressure testing of completed assemblies. • Knowledge of DFM, DFA, and 8D problem-solving analysis. • Familiar with the standards ISO-9001 & IATF-16949 processes. • Liaison with selling, production, and purchasing to ensure the fulfilment of deadlines in the design and manufacture of our products.

GH Induction, S.A.U.
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Intern Mechanical Engineer

Valencia, Valencia, Spain

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Full time

Summary

• Mechanical elements’ 3D model and 2D drawing design, such as holed base plates, clamps and tooling for induction heating machines’ manufacture, using SolidWorks and SolidWorks PDM. • Pneumatic and lubrication installations’ 2D drawings. Knowledge of pneumatic elements, including solenoid valves, service units for preparing compressed air, quick exhaust valves, check valves, and other pneumatic components such as rotary drives, cylinders, and grippers. • Technical documentation production: – General information on the facilities’ process and capability. – Bill of Materials (BOMs). – Maintenance manuals. – User manuals related to mechanical parts of the facilities. – Dimensional verification of assembled ensembles. – Recommended spare part lists. • Liaison with selling, production, and purchasing to ensure the fulfilment of deadlines in the design and manufacture of induction heating machines.

Education

School of Aerospace Engineering and Industrial Design (ETSIADI)
Valencia, Valencia, Spain

Full time

Bachelor's Degree in Mechanical Engineering

School of Industrial Engineering (ETSII)
Valencia, Valencia, Spain

Full time

Master's Degree in Industrial Engineering

Publications

Computation and Statistical Analysis of Bearings’ Time- and Frequency-Domain Features Enhanced Using Cepstrum Pre-Whitening: A ML- and DL-Based Classification

Published by

Applied Sciences

Summary

Vibration signals captured with an accelerometer carry essential information about Rolling Element Bearings (REBs) faults in rotating machinery, and the envelope spectrum has proven to be a robust tool for their diagnosis at an early stage of development. In this paper, Cepstrum Pre-Whitening (CPW) has been applied to REBs’ signals to enhance and extract health-state condition indicators from the preprocessed signals’ envelope spectra. These features are used to train some of the state-of-the-art Machine Learning (ML) algorithms, combined with time-domain features such as basic statistics, high-order statistics and impulsive metrics. Before training, these features were ranked according to statistical techniques such as one-way ANOVA and the Kruskal–Wallis test. A Convolutional Neural Network (CNN) has been designed to implement the classification of REBs’ signals from a Deep Learning (DL) point of view, receiving raw time signals’ greyscale images as inputs. The different ML models have yielded validation accuracies of up to 87.6%, while the CNN yielded accuracy of up to 77.61%, for the entire dataset. In addition, the same models have yielded validation accuracies of up to 97.8%, while the CNN, 90.67%, where signals from REBs with faulty balls have been removed from the dataset, highlighting the difficulty of classifying such faults. Furthermore, from the results of the different ML algorithms compared to those of the CNN, frequency-domain features have proven to be highly relevant condition indicators combined with some time-domain features. These models can be potentially helpful in applications that require early diagnosis of REBs faults, such as wind turbines, vehicle transmissions and industrial machinery.