Abstract
Design complexity and its relation to Design for Manufacturing continues to be a challenging topic, namely when the objective is to address these aspects in a straightforward manner to young or less experienced design teams. The availability of practical methodologies that induce rules to support novel design creation, in the environment of manufacturing processes, continues to be scarce. This work presents a novel approach named - 0-3D Design Method - that aims to define, in a systematic and geometrical manner, practical rules that allows mechanical designers to relate, in a codified manner, the design geometry of a given mechanical component to the typical manufacturing processes that permit its physical embodiment. The method proposes the definition of types and sub-types of parts, based on the number of spatial dimensions that need to be modified for a given design construction, and its relation to the manufacturing phase of the product life-cycle. A practical mechanical design example is presented to demonstrate the methodology, mapping the parts necessary for the design of a cutting head of a machine-tool. (C) 2019 The Authors. Published by Elsevier B.V.

Abstract
For Programming teachers it is of utter most importance to understand the factors that impact on students' motivation to improve their ability to become good computer programmers. To understand a problem, to develop an algorithm for its solution, and to write the corresponding program is a challenging and arduous task, demanding time and self-confidence. In previous work we studied computer based technics to engage students in the learning activity; visualization, animation, automatic program assessment were some approaches that we combined. To support that work we studied carefully students' motivation and complemented that study with an inquiry to a group of students of Algorithm and Programming course of the first year of an Engineering degree. In this paper we show how Association Rules can be used to mine the data gathered in the inquiry to discover relationships among factors influencing extrinsic motivation.

Abstract
Distribution system operators (DSO) are currently moving towards active distribution grid management. One goal is the development of tools for operational planning of flexibility from distributed energy resources (DER) in order to solve potential (predicted) congestion and voltage problems. This work proposes an innovative flexibility management function based on stochastic and chance-constrained optimization that copes with forecast uncertainty from renewable energy sources (RES). Furthermore, the model allows the decision-maker to integrate its attitude towards risk by considering a trade-off between operating costs and system reliability. RES forecast uncertainty is modeled through spatial-temporal trajectories or ensembles. An AC-OPF linearization that approximates the actual behavior of the system is included, ensuring complete convexity of the problem. McCormick and big-M relaxation methods are compared to reformulate the chance-constrained optimization problem. The discussion and comparison of the proposed models is carried out through a case study based on actual generation data, where operating costs, system reliability and computer performance are evaluated.

Abstract
The number of electric vehicles (EVs) has been gradually increasing over the last decades. In order to eliminate the concerns related to charging demand in power systems, the appropriate integration of EVs to the grid is of great importance. Electric vehicle parking lots (EVPLs) offer a crucial occasion to manage the charging process of EVs. Further, EVs are capable of either charging from the grid or supplying power to the grid due to the vehicle-to-grid (V2G) features. Through an agent, namely an aggregator, EVPLs can participate in the electricity market and a considerable amount of profit can be obtained in terms of EVPLs, EV owners, and aggregators by energy selling. However, EV owners may not be willing to participate in this structure due to the concerns related to their comforts. In this context, a model in which EVPLs can bid for energy selling to the grid through an aggregator is proposed in this study. Additionally, the comfort violation of EV owners is taken into account. In order to validate the effectiveness of the devised model, various case studies are also performed.

Abstract
In this work, 3D printing is explored as a solution for fast prototyping of optical fiber sensors with applications in power transformers. Two different sensing structures were evaluated using finite element method (FEM) analysis and were fabricated using 3D printing. The printed structures are composed by acrylonitrile butadiene styrene (ABS), a common thermoplastic polymer used in 3D printing. Attaching a fiber Bragg grating (FBG) to each structure, frequency measurements were successfully obtained for values between 20 and 250 Hz.

Abstract