An evolutionary approach in the combinatorial selection and optimization of catalytic materials

A series of chromium-containing mesocellular silica foam (MCF) catalysts have been prepared and characterized in the oxidative dehydrogenation (ODH) of propane between 350 and 600 °C. It is demonstrated that the chromium catalysts supported on MCF exhibit much higher catalytic activity in terms of propane conversion and propylene yield than literature results obtained over chromium-supported mesoporous SBA-15 or MCM-41 catalysts during the ODH of propane. Enhanced catalytic performance of the chromium-containing mesoporous MCF catalysts has been attributed to the unique three-dimensional (3D), continuous, ultralarge mesopore structure of the MCF materials, which allow a much faster internal molecular transport during the ODH of propane.

Stability and catalytic performance of vanadia supported on nanostructured titania catalyst in oxidative dehydrogenation of propane

Preparation and characterization of vanadia catalysts supported on non-porous, microporous and mesoporous silicates for oxidative dehydrogenation of propane (ODP)

Structure of flame-made vanadia/silica and catalytic behavior in the oxidative dehydrogenation of propane

Closed-loop optimization of catalysts for oxidative propane dehydrogenation with CO2 using artificial intelligence

Finned Zn-MFI zeolite encapsulated noble metal nanoparticle catalysts for the oxidative dehydrogenation of propane with carbon dioxide

This study used the Design for Assembly (DFA) and material selection methods as tools to aid the development of a conceptual design of a functional device to transform alternate movement into rotational movement on the axis of a microgenerator. Also, material selection software was used to define the most suitable thermoplastic materials for some components of the projected device, focusing both on performance and low cost. There was a considerable reduction in the number of parts in the set from the basic device (prototype), which had 47 parts, to the conceptual design I, with 34 parts, and the conceptual design II, with 14 parts. The total mass of the set was also considerably reduced, from 160 grams for the basic device to 57.01 grams in the conceptual design I and, finally, 18.30 grams in the conceptual design II. Of thermoplastic materials analysed, considering a selection focused only on performance the most promising candidate, with an ideal set of properties is PEEK. But for a selection that considers the price, that is one of the key variables in the materials selection for most products, PEEK shows is prohibitively price.

The oxidative dehydrogenation of propane was studied over a series of VMgO catalysts with a V content varying from 5 to 45 wt.%. Selectivity was shown to be little dependent on V content, while a high dependency of the intrinsic activity on the surface composition and structure was observed. Thorough catalyst characterization under reaction conditions demonstrated that this sensitivity was related to the combination of surface V5+ units with ionic vacancies to activate propane molecules. Thus, the highest propene yields were obtained when V content and phase sintering were tuned. This corresponded to an optimized redox potential, a key parameter in the Mars - Van Krevelen mechanism. INTRODUCTION VMgO catalysts are known to be active and selective for the oxidative dehydrogenation of propane (ODHP) (1-4). Initially, most of the authors focused on the catalytic performances of the pure VMgO phases. Chaar et al. (1) claimed that magnesium orthovanadate (Mg3V2O8) was

Study on the structure, acidic properties of V–Zr nanocrystal catalysts in oxidative dehydrogenation of propane

Role of acid—base, redox and structural properties of VMgO catalysts in the oxidative dehydrogenation of propane

An intelligent method for selecting optimal materials and its application

The aim of this paper is to propose the methods to select reasonable normalization method in TOPSIS and decide best optimal material combined with individual results from TOPSIS with some popular normalization methods. In this paper, to evaluate performance of normalization method, entropy-based and variation coefficient-based performance scores are introduced. To decide final result of materials selection combined with individual results from TOPSIS with different normalization methods, final rank index of alternative material is proposed. To verify the effectiveness of the proposed methods, TOPSIS with some popular normalization methods is applied to select optimal tribological coating material. As a result, it is desirable to select the normalization method with highest entropy-based and variation coefficient-based performance scores. In order to select best optimal material using TOPSIS with some popular normalization methods, the method to decide final result of materials selection is proposed by using final indices of alternative materials. The proposed methods may be widely used to solve the materials selection problems in engineering practice.

Herein we report on the synthesis, characterization and catalytic evaluation of cobalt (Co) and tin (Sn) oxide catalysts synthesized via the sol–gel approach. Preliminary characterization using nitrogen sorption measurements show the materials as mesoporous with relatively high surface area. The catalyst with the least amount of Co had the highest surface area (146 m2/g) compared to the catalysts with the highest amount of Co. Furthermore, temperature-programmed reduction (H2-TPR) was used to study the redox properties of the catalysts. The H2-TPR analysis revealed that the catalysts are only reduced at relatively high temperatures (> 300 °C). While the temperature-programmed desorption using ammonia (NH3-TPD) and carbon dioxide (CO2-TPD) results suggest that the total amount of acidic and basic sites is the function of different amounts of metal content in the catalytic materials. The catalyst with the least amount of Co appeared to have the highest number of acidic sites compared to other catalysts. Evaluation of the catalytic activity was studied using oxidation of morin as model reaction. The catalyst with the least amount of Co, (Co0.3Sn0.7Ox) appeared to be the most active catalyst.

Compliance with the rules and regulations of competition “Student Formula Car Racing” that conducted annually by the ‘Society of Automotive Engineers’ (SAE) India, the car frame must be designed and built with supreme priority. The major task posed is to design and fabricate a light weighed vehicle chassis frame without compensating the safety. This paper boards various methods of material selection, technical design optimization and Finite Element Analysis using ANSYS. The basic design is based on the anthropological study data of the specified human (95th percentile male) al-lowing fast ‘way-in’ and ‘way-out’ access from the car. According to the rules book specification on material selection, AISI 4130 chromoly steel was the first time identified for the frame design. Resulting in the final design of the vehicle frame, various analyses were done using ANSYS and the successive results are plotted and discussed. The entire design optimization and simulation analysis are based on the 2019 Formula SAE rules book. Keywords: finite element analysis, AISI 4130 chromoly steel, frame construction, Society of Automotive Engineers.

A novel method for materials selection in mechanical design: Combination of non-linear normalization and a modified digital logic method