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Corrosion data of the widely used silver brazing alloys (BAg‐1 and BAg‐3) of the American Welding Society’s (AWS) specification are scant in literature. Deals with the study of the corrosion behaviour of these alloys in different environments with particular emphasis on the industrial and marine atmospheres.

This paper gives a bibliographical review of the finite element and boundary element parallel processing techniques from the theoretical and application points of view. Topics include: theory – domain decomposition/partitioning, load balancing, parallel solvers/algorithms, parallel mesh generation, adaptive methods, and visualization/graphics; applications – structural mechanics problems, dynamic problems, material/geometrical non‐linear problems, contact problems, fracture mechanics, field problems, coupled problems, sensitivity and optimization, and other problems; hardware and software environments – hardware environments, programming techniques, and software development and presentations. The bibliography at the end of this paper contains 850 references to papers, conference proceedings and theses/dissertations dealing with presented subjects that were published between 1996 and 2002.

Silicon plays a vital role in the corrosion resistance of Cu‐Si alloys by forming a copper silicide protective layer on the surface of the alloys in natural seawater but, for the higher percentage of silicon content in the alloy (10 wt. per cent), sometimes, with the synergistic effect of the silicide layer along with free silicon, protection takes place. Electrochemical behaviour test using computerized potentiostat/galvanostat (PARC Model No. 273, EG&G, USA) immersion test in natural seawater and X‐ray diffraction analysis using Simons D‐500 diffractometer support the phenomenon.

Stainless steels are very unique in that they offer a wide range and combination of resistance to corrosion, resistance to oxidation at high temperature and good mechanical properties at room temperature. With rapid industrialization all over the world, these very properties have led to extensive use of stainless steels in different industries. Austenitic stainless steels containing molybdenum exhibit corrosion resistance in both sulphuric acid and nitric acid. Stainless steel undergoes severe attack in sulphuric acid having concentrations in the range of 20‐85 per cent, whereas they are immune to nitric acid in any concentration. However, sensitized stainless steels are prone to intergranular attack in acids, even in nitric acid. Further, the attack is aggravated in the presence of aggressive ions. Study of the behaviour of stainless steels in a mixture of acids (nitric and sulphuric acid) is lacking in the literature. This paper, therefore, discusses the performance of AISI‐316 and 316‐L in sulphuric acid and nitric acid and a mixture thereof at room temperature. It is observed that the steels are quite resistant to sulphuric acid and nitric acid, but in the acid mixture they are not so resistant, especially in AISI‐316 SS in respect of corrosion resistance, even in acid mixture containing C1^‐ and Cu⁺⁺ ions.

This research attempts to present a solid transportation problem (STP) mechanism in uncertain and indeterminate contexts, allowing decision makers to select their acceptance, indeterminacy and untruth levels.

Due to the lack of reliable information, changeable economic circumstances, uncontrolled factors and especially variable conditions of available resources to adapt to the real situations, the authors are faced with a kind of uncertainty and indeterminacy in constraints and the nature of the parameters of STP. Therefore, an approach based on neutrosophic logic is offered to make it more applicable to real-world circumstances. In this study, the triangular neutrosophic numbers (TNNs) have been utilized to represent demand, transportation capacity, accessibility and cost. Then, the neutrosophic STP was converted into an interval programming problem with the help of the variation degree concept. Then, two simple linear programming models were extracted to obtain the lower and upper bounds of the optimal solution.

The results reveal that the new model is not complicated but more flexible and more relevant to real-world issues. In addition, it is evident that the suggested algorithm is effective and allows decision makers to specify their acceptance, indeterminacy and falsehood thresholds.

Under the transportation literature, there are several solutions for TP and STP in crisp, fuzzy set (FS) and intuitionistic fuzzy set (IFS) conditions. However, the STP has never been explored in connection with neutrosophic sets to the best of the authors’ knowledge. So, this work tries to fill this gap by coming up with a new way to solve this model using NSs.

Gives a bibliographical review of the error estimates and adaptive finite element methods from the theoretical as well as the application point of view. The bibliography at the end contains 2,177 references to papers, conference proceedings and theses/dissertations dealing with the subjects that were published in 1990‐2000.

Deals with the tribological behaviour of some ferrous, non‐ferrous and polymeric materials, used for various applications in machine tools in dry conditions and when using solid lubricants, and the development of an empirical relationship of wear and friction dependent on influencing parameters. Some “Iso‐Wear” curves have also been plotted for the purpose of obtaining values of the parameters and their treatment combination for a specific wear rate.

The growing displacement of theory and other forms of wide-ranging knowledge of social phenomena by empirical research methods in economics is widely noted by economists and historians of economic knowledge. Less attention has been devoted, however, to understand the materialization of such changes in the scientific practices. This article studies the recent transformations in the epistemological practices at CEDE, a research center in Colombia. I use a machine learning technique called Topic Modeling, interviews to CEDE researchers, and exegesis of papers to characterize a shift in the production of knowledge in microeconometrics at CEDE during the years 2000 and 2018. I explain this shift by characterizing two sets of epistemological practices that implies a recent tendency to disdain research that cannot make a “strong” causal inference.

Introduction It is well established that Si in silicon bronzes imparts high strength and corrosion resistance which are essential requirements for applications in hydraulic pressure lines, heat exchangers, propeller shafts, storage tanks and other equipments for chemical industries. They have high corrosion resistance towards marine environments, but possess inferior corrosion resistance in sulphide bearing atmosphere although more resistant to stress corrosion cracking and season cracking than brass on exposure to polluted atmospheres. In general, corrosion resistance of alloys depends on alloy chemistry, heat treatment schedule, presence of second phase, precipitation morphology and specific environment. However, studies on influence of heat treatment and variation of silicon content in (Binary) Cu‐Si alloys with particular reference to their corrosion resistance in chloride and sulphide bearing environments are scanty in literature. The present work has been designed to study the corrosion behaviour and to generate data on three types of commercially important Cu‐Si alloys in 3.5 per cent sodium chloride and 1 per cent sodium sulphide solutions.