Phosphate solubilizing bacteria and their role in plant growth promotion

A review of stimuli-responsive shape memory polymer composites

http://ieeexplore.ieee.org/iel5/5/31047/01444179.pdf

Fundamentals of acoustics

Electrical discharge machining (EDM) is one of the earliest non-traditional machining processes. EDM process is based on thermoelectric energy between the work piece and an electrode. A pulse discharge occurs in a small gap between the work piece and the electrode and removes the unwanted material from the parent metal through melting and vaporising. The electrode and the work piece must have electrical conductivity in order to generate the spark. There are various types of products which can be produced using EDM such as dies and moulds. Parts of aerospace, automotive industry and surgical components can be finished by EDM. This paper reviews the research trends in EDM on ultrasonic vibration, dry EDM machining, EDM with powder additives, EDM in water and modeling technique in predicting EDM performances.

A review on current research trends in electrical discharge machining (EDM)

Phosphorus is an important plant nutrient which is in short supply in many agricultural soils Because much of the soluble phosphate (P) applied to soils as fertilizer is “fixed” by the soil and rendered less available to plants, the long-term application of P fertilizers has resulted in an accumulation of total soil P, most of which is poorly soluble Many soil fungi, predominantly of the genera Aspergillus and Penicillium , have been shown to possess the ability to solubilize sparingly soluble phosphates in vitro by secreting inorganic or organic acids Growth promotion and increased uptake of P by plants inoculated with P-solubilizing fungi have also been reported by many investigators

Growth Promotion of Plants Inoculated with Phosphate-Solubilizing Fungi

This paper aims to compare the material removal rate, ν between a Dimensional Analysis (DA) model, an Artificial Neural Network (ANN) model and an experimental result for a low gap current of an Electrical Discharge Machining (EDM) process. The data analysis is based on a copper electrode and steel workpiece materials. The DA and ANN model that have been developed and reported earlier by authors are used to compare the material removal of EDM process. The result indicated that the ANN model provides better accuracy towards the experimental results.

Comparison Studies of Electrical Discharge Machining (EDM) Process Model for Low Gap Current

A study was undertaken to isolate some fungi exhibiting phosphate-dissolution ability, and to test whether these fungi are capable of increasing the amount of available P in a calcareous soil treated with rock phosphate (RP) or with triple superphosphate (TSP) and its subsequent uptake by sorghum (Sorghum bicolor L. Moench).Penicillium sp. and twoAspergillus foetidus (Naka) isolates significantly increased the availability of P in soil treated with RP or TSP during the growing season.Penicillium sp. isolate was more effective in increasing available P in the soil treated with RP or TSP than were Aspergillus isolates. However, the dry matter and P uptake responses to inoculation with these fungi were better in the soil treated with RP than in soil treated with TSP. In the TSP treated soil, the fungi achieved their maximum P releasing capacity two weeks earlier than in soil treated with RP. Positive and significant correlation coefficients among available P, P uptake and dry matter production at different periods of the growing season were observed following inoculation. However, none of these variables were found to be significantly correlated with the fungal populations.

Availability of phosphorus in a calcareous soil treated with rock phosphate or superphosphate as affected by phosphate-dissolving fungi

This paper describes the use of dimensional analysis in investigating the effects of the electrical and the physical parameters on the material removal rate of a diesinking electro-discharge machine. A brief explanation of the material removal process is presented and the factors influencing the material removal rate are identified and used in the dimensional analysis to produce a mathematical model for the material removal rate. The validity of the analysis is verified since it predicts results which are in good agreement with experimental findings.

https://iopscience.iop.org/article/10.1088/0022-3727/37/10/008/pdf

Determination of material removal rate of an electro-discharge machine using dimensional analysis

The phosphate-solubilizing bacteria (PSB) were enumerated in 52 soil samples collected from agricultural areas at Baghdad. The results revealed that more than 90% of the samples were inhabited with indigenous PSB. The number varied and ranged from 0.012–28.4×104 cell g−1 soil. The correlations between PSB counts and electrical conductivity, available phosphorus, cation-exchange capacity, soil moisture, organic matter and pH were insignificant. Both abundance and numbers of PSB were more pronounced in descending order under vegetables, legumes, grasses, cereal and orchard trees.

Occurrence of phosphate-solubilizing bacteria in some Iraqi soils

This article presents a prediction of Material Removal Rate (MRR) in Electrical Discharge Machining (EDM) using Artificial Neural Network (ANN). Experimental data were gathered from Die sinking EDM process for copper-electrode and steel-workpiece. It is aimed to develop a behavioral model using input-output pattern of raw data from EDM process experiment. The behavioral model is used to predict MRR and than the predicted MRR is compared to actual MRR value. The results show good agreement of predicting MRR between them.

Azli Yahya

Papers

Comparison Studies of Electrical Discharge Machining (EDM) Process Model for Low Gap Current

Availability of phosphorus in a calcareous soil treated with rock phosphate or superphosphate as affected by phosphate-dissolving fungi

Determination of material removal rate of an electro-discharge machine using dimensional analysis

Occurrence of phosphate-solubilizing bacteria in some Iraqi soils

Predicting Material Removal Rate of Electrical Discharge Machining (EDM) using Artificial Neural Network for High I gap current