machining operation is one of the most applicable processes for the manufacturing of industrial parts. usually, the quality of finished part in turning operation is measured in terms of surface roughness. in turn, surface quality is determined by machining parameters and tool geometry specifications. the main objective of this study is to model and optimize machining parameters and tool geometr...

Austenitic stainless steels (AISI316) are used for many commercial and industrial applications for their excellent corrosive resistance. AISI316 is generally difficult to machine material due to their high strength and high work hardening tendency. Tool wear (TW) and surface roughness (SR) are broadly considered the most challenging phases causing poor quality in machining. Optimization of cutt...

chaetomorpha sp is one of the persian gulf green algae which can be a marine source of natural antioxidants such as polyphenols. industrial and economic development of these materials is influenced by effective extraction and application methods. microwave-assisted extraction (mae) and ultrasound-assisted extraction (uae) are novel techniques which have a potential to apply in laboratory with a...

In the present study, silver-doped TiO2 (Ag/TiO2) nanoparticles were prepared by various Ag doping (wt%) and a combination of sol-gel and ultrasound irradiation. Ag/TiO2 nanoparticles were characterized by energy-dispersive X-ray analysis (EDX), scanning electron microscopy (SEM) and X-ray diffraction (XRD) techniques. Based on the Taguchi method, photocatalytic...

The optimization of DNA hybridization for genotyping assays is a complex experimental problem that depends on multiple factors such as assay formats, fluorescent probes, target sequence, experimental conditions, and data analysis. Quantum dot-doped particle bioconjugates have been previously described as fluorescent probes to identify single nucleotide polymorphisms even though this advanced fl...

This paper systematically proposed a multi-population agent co-genetic algorithm with double chainlike agent structure (MPATCGA) to solve the problem of the low optimization precision and long optimization time of simple genetic algorithm in terms of two coding strategy. This algorithm adopted multi-population parallel searching mode, close chain-like agent structure, cycle chain-like agent str...

When optimizing an accelerated degradation testing (ADT) plan, the initial values of unknown model parameters must be pre-specified. However, it is usually difficult to obtain the exact values, since many uncertainties are embedded in these parameters. Bayesian ADT optimal design was presented to address this problem by using prior distributions to capture these uncertainties. Nevertheless, whe...

Lanhouin is a traditional fermented salted fish made from the spontaneous and uncontrolled fermentation of whole salted cassava fish (Pseudotolithus senegalensis) mainly produced in the coastal regions of West Africa. The combined effects of NaCl, citric acid concentration, and marination time on the physicochemical and microbiological characteristics of the fish fillet used for Lanhouin produc...

Experimental design principles can be used in natural resource management for greater efficiency in sensitivity analysis. Traditionally, practical application of these designs have been limited due to the availability of very specific designs. An approach to determine a design matrix for sensitivity analysis for any case is proposed. The methodology uses an objective function to minimize the di...

The comparison of stochastic algorithms for optimization requires the use of appropriate statistical methods for the analysis of results. Commonly used parametric tests, like the t-test or ANOVA procedures in experimental design, are based on the assumption that algorithms’ results are normally distributed. However, this assumption is often violated because the distribution of the cost values o...