Mechanical Behaviour of TiAl Spherical Particles Including Friction Effect

Pubblicazione su CD-RO

Mechanical Behaviour of TiAl Spherical Particles Including Friction Effect

Pubblicazione su CD-RO

Entretenimientos con una moneda en el aire

En numerosas ocasiones nuestra intuición nos indica equivacadamente cómo cierto acontecimiento, que es regido por el puro azar, debe comportarse. Lo que nos proponemos hacer es estudiar a fondo un ejemplo de este fenómeno el cual, además de ser sencillo y mostrararnos cómo la matemática puede brindarnos en algunos casos más información que nuestro propio razonamiento, tendrá una divertida aplicación. Lanzar una moneda al aire repetidas veces es el juego de azar más simple que existe y, sin embargo es capaz de engañar nuestra intuición arrojando resultados que a nuestro juicio son lógicamente" improbables. Supongamos que tiramos diez, cincuenta, cien o inclusive mil veces la moneda y anotamos con ceros y unos el resultado de cada uno de los lanzamientos. Podemos imaginar, si queremos que éstos representan los colorados y negros de una ruleta durante una noche de casino. Nos interesará saber es si existen o no períodos muy largos de mala racha, es decir que salga uno o cero muchas veces repetidas. Una manera matemática de plantear el problema sería la siguiente: se elige al azar un número de n cifras formado sólo por ceros y unos, y se desea saber qué probabilidad hay de que haya más de k ceros o unos seguidos en dicho número

Prioritising CAP intervention needs: An improved cumulative voting approach

The process to define the 2023–2027 Common Agricultural Policy (CAP) is underway. The implementation model governing the process requires each EU Member State to design a National Strategic Plan to deliver operational actions exploiting the synergies under the two pillars of the policy. Each Plan must be built from an evidence-based needs assessment that undergoes rigorous prioritisation and planning to create comprehensive, integrated, and achievable interventions. In Italy, the success of this planning process requires all interested stakeholders to generate options for the regional authorities who plan, manage, and legislate agricultural activities. This research proposes a decision-making technique, based on the cumulative voting approach, that can be used effectively when multiple persons from different backgrounds and perspectives are engaged in problem-solving and needs prioritisation. The results indicate that the model can be applied both theoretically and practically to prioritise Strategic Plan needs that involve national and regional authorities. Validation of the model allows it to be used in the next consultative processes and for expansion to socioeconomic stakeholders

Simple and efficient isolation of plant genomic DNA using magnetic ionic liquids

BACKGROUND: Plant DNA isolation and purification is a time-consuming and laborious process relative to epithelial and viral DNA sample preparation due to the cell wall. The lysis of plant cells to free intracellular DNA normally requires high temperatures, chemical surfactants, and mechanical separation of plant tissue prior to a DNA purification step. Traditional DNA purification methods also do not aid themselves towards fieldwork due to the numerous chemical and bulky equipment requirements. RESULTS: In this study, intact plant tissue was coated by hydrophobic magnetic ionic liquids (MILs) and ionic liquids (ILs) and allowed to incubate under static conditions or dispersed in a suspension buffer to facilitate cell disruption and DNA extraction. The DNA-enriched MIL or IL was successfully integrated into the qPCR buffer without inhibiting the reaction. The two aforementioned advantages of ILs and MILs allow plant DNA sample preparation to occur in one minute or less without the aid of elevated temperatures or chemical surfactants that typically inhibit enzymatic amplification methods. MIL or IL-coated plant tissue could be successfully integrated into a qPCR assay without the need for custom enzymes or manual DNA isolation/purification steps that are required for conventional methods. CONCLUSIONS: The limited amount of equipment, chemicals, and time required to disrupt plant cells while simultaneously extracting DNA using MILs makes the described procedure ideal for fieldwork and lab work in low resource environments. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13007-022-00860-8

Analysis of residual plastic deformation of blanked sheets out of automotive aluminium alloys through hardness map

Reducing overall vehicle weight is essential to reduce fuel consumption and pollutant emission and to improve noise, vibration, and harshness (NVH) performances. The substitution with lighter alloys can involve the grand majority of vehicle components, depending on the market sector. In several applications, e.g., chassis, pulleys, and viscodampers, metal sheets are formed in several steps, each of whom work-hardens the material reducing the available residual plasticity. Typically, the process is designed via FEM, whose results are affected by the initial conditions, often neglected, and is performed on pre-processed materials from suppliers. In this regard, correctly simulating the first step of the process is critical. However, the related initial conditions, in terms of residual stress and strain induced by former preliminary operations, are often neglected. This work proposes a quick and economical experimental procedure based on a hardness map to estimate initial conditions and to validate FEM results. The procedure allows evaluating the material's residual plasticity, which is necessary to process engineers to design following manufacturing steps. The approach is demonstrated on an industrially relevant case study, i.e., the blanking of an AA 5754, in use for water pump pulleys

Politica regionale di sviluppo 2014/20. Rapporto di monitoraggio al 31.12.2016

In questo Rapporto si presentano i dati di monitoraggio dello stato di attuazione, al 31 dicembre 2016, della Politica regionale di sviluppo della Valle d’Aosta per il periodo di programmazione 2014/20. Considerati i tempi abitualmente necessari per pervenire all’avvio dei Programmi e all’approvazione dei primi Progetti, questo Rapporto si configura come il primo Rapporto di monitoraggio relativo al nuovo periodo di programmazione

Minimization of defects generation in laser welding process of steel alloy for automotive application

Laser welding (LW) thanks to its flexibility, limited energy consumption and simple realization has a prominent role in several industrial sectors. LW process requires careful parameters' tuning to avoid generating internal defects in the microstructure or a poor weld depth, which reduce the joining mechanical strength and result in waste. This work exploits a supervised machine learning algorithm to optimize the process parameters to minimize the generated defects, while catering for design specifications and tolerances to predict defect generation probability. The work outputs a predictive quality control model to reduce non-destructive controls in the LW of aluminum for automotive applications