Electrochemical impedance spectroscopy and surface characterization techniques to study carbon dioxide corrosion product scales

Electrochemical impedance spectroscopy (EIS) was used to study carbon dioxide (CO2) corrosion product scales and their effects on further CO2 corrosion. Objectives were to determine the suitability of EIS for studying corrosion scales and to investigate the influence of environmental factors on scale formation. EIS provided useful information about protective abilities and electrochemical properties of corrosion scales. CO2 corrosion scales formed at high-temperature and pressure provided better protection than those formed at low-temperature and pressure. The level of protection of the scale formed at higher temperature and pressure increased with exposure time. EIS results were compared with coupon weight-loss measurements. Scales were analyzed using a combination of Fourier transform infrared (FTIR) analysis, x-ray diffraction (XRD), and electron microscopy.

Studies of CO2 corrosion product scales using electrochemical impedance spectroscopy and surface characterisation techniques

Electrochemical impedance spectroscopy (EIS) was used to study carbon dioxide (CO2) corrosion product scales and their effects on further CO2 corrosion. Objectives were to determine the suitability of EIS for studying corrosion scales and to investigate the influence of environmental factors on scale formation. EIS provided useful information about protective abilities and electrochemical properties of corrosion scales. CO2 corrosion scales formed at high-temperature and pressure provided better protection than those formed at low-temperature and pressure. The level of protection of the scale formed at higher temperature and pressure increased with exposure time. EIS results were compared with coupon weight-loss measurements. Scales were analyzed using a combination of Fourier transform infrared (FTIR) analysis, x-ray diffraction (XRD), and electron microscopy

Using the juster scale to predict adoption of an innovative product

The Juster scale - a simple, self-reported measure of purchase probability, has been shown to be effective in predicting consumers' future purchasing behaviours. Purchase probability scales have often been shown to be better predictors of future behaviour than purchase intentions measures, the more widely used method. The vast majority of studies though have used the scale to predict the purchase of products or services the consumer is already familiar with. This research looks at how accurately the Juster scale can predict early adoption of an innovative new product prior to its’ launch. In a longitudinal study of market behaviour, these predictions are compared to actual adoption rates. The results show that there is only a moderate level of correlation between purchase probability scores and actual adoption behaviour, in both the short and long term, but they are better than intention measures. The main difficulty in predicting adoption behaviour seems to stem from consumers inability to foresee intervening situational factors, rather than inaccuracies in the probability scale itself.

A bioeconomic evaluation of a commercial scale recirculating finfish growout system - an Australian perspective

This study, based on 3 years of commercial data, presents the results of an economic analysis of a 20-tonne per annum (TPA) commercial recirculating aquaculture system (RAS) facility located in Warrnambool, Victoria, Australia. Based on the assumptions of the analysis, results highlight the non-viability of the facility, with a 10-year projected negative cumulative cash flow of − $648,038, and negative net present value (NPV) of − $707,546. Economies of scale were assessed by the development of economic models for hypothetical 50-TPA and 100-TPA facilities, based on the actual figures obtained from the 20-TPA case study. These analyses highlighted marginal viability for the 50-TPA facility (with a ten-year projected cumulative cash flow of $1,030,300; negative NPV of − $167,651 and internal rate of return (IRR) of 11.75%), and an economically viable 100-TPA facility (with a ten-year projected cumulative cash flow of $3,176,750; NPV of $522,200 and IRR of 21.03%). Sensitivity analysis highlighted that the greatest gains to be realised in improving profitability were those associated with increasing the productive capacity of the facility, increasing the sale price of the product, and decreasing the capital costs of RAS facilities. Contradictions between the results from the present study to similar studies clearly highlight a need for further economic analyses of commercial RAS facilities, using commercial data sets and standard economic analysis procedures.

Measuring consumer involvement : a test of the automobile involvement scale

This study empirically investigated consumer involvement with a product class. Data was collected from 178 vehicle buyers. Reliability and factor analyses investigated the structure of the Bloch (1981) instrument and the dimensions underlying involvement. In terms of replication, the results suggest the reduced-item version of the instrument previously proposed by Shimp and Sharma (1983) is reliable and is a less excessive measurement instrument. Similar dimensions underlying involvement with the product class are reported here. The study extends previous work by obtaining similar results in a different cultural setting, producing findings from a more relevant sample, applying an additional method of data collection, and suggesting that the underlying dimensions may be temporally stable.

Comparison of the strain distribution obtained from multi scale and conventional approaches to modelling extrusion

An investigation of the application of a multi scale CAFE model to prediction of the strain localization phenomena in industrial processes, such as extrusion, is presented in this work. Extrusion involves the formation of a strong strain localization zone, which influences the final product microstructure and may lead to a coarse grain layer close to the surface. Modelling of the shape of this zone and prediction of the strain magnitude will allow computer aided design of the extrusion process and optimisation of the technological parameters with respect to the microstructure and properties of the products. Thus, the particular objective of this work is comparison of the FE and CAFE predictions of strain localization in the shear zone area in extrusion. Advantages and disadvantages of the developed CAFE model are also discussed on the basis of the simulation results.

Depth estimation of metallic objects using multiwavelets scale-space representation

The problem of dimensional defects in aluminum die-castings is widespread throughout the foundry industry and their detection is of paramount importance in maintaining product quality. Due to the unpredictable factory environment and metallic with highly reflective nature, it is extremely hard to estimate true dimensionality of these metallic parts, autonomously. Some existing vision systems are capable of estimating depth to high accuracy, however are very much hardware dependent, involving the use of light and laser pattern projectors, integrated into vision systems or laser scanners. However, due to the reflective nature of these metallic parts and variable factory environments, the aforementioned vision systems tend to exhibit unpromising performance. Moreover, hardware dependency makes these systems cumbersome and costly. In this work, we propose a novel robust 3D reconstruction algorithm capable of reconstructing dimensionally accurate 3D depth models of the aluminum die-castings. The developed system is very simple and cost effective as it consists of only a pair of stereo cameras and a defused fluorescent light. The proposed vision system is capable of estimating surface depths within the accuracy of 0.5mm. In addition, the system is invariant to illuminative variations as well as orientation and location of the objects on the input image space, making the developed system highly robust. Due to its hardware simplicity and robustness, it can be implemented in different factory environments without a significant change in the setup. The proposed system is a major part of quality inspection system for the automotive manufacturing industry.

Developing a scale to measure season ticket holder attitudes towards the professional sports club offering

Given the importance of season ticket holders (STH) to sporting organisations, we empirically examine a scale for measuring their attitudes to the season ticket product. This involved identifying through qualitative research and past literature, the various elements that are perceived to comprise the season ticket package and developing items to measure STH attitudes to them. The season ticket package was decomposed into six key components, closely mirroring past research. A survey of over 2,500 STH of a professional sporting organisation was then conducted, incorporating items related to these six areas, overall satisfaction and disconfirmation of expectations. The results of Exploratory Factor Analysis on those items is presented here, with results suggesting the items are valid measures of season ticket holder attitudes that capture the breadth of the STH experience.

Large-scale statistical modeling of motion patterns : a Bayesian nonparametric approach

We propose a novel framework for large-scale scene understanding in static camera surveillance. Our techniques combine fast rank-1 constrained robust PCA to compute the foreground, with non-parametric Bayesian models for inference. Clusters are extracted in foreground patterns using a joint multinomial+Gaussian Dirichlet process model (DPM). Since the multinomial distribution is normalized, the Gaussian mixture distinguishes between similar spatial patterns but different activity levels (eg. car vs bike). We propose a modification of the decayed MCMC technique for incremental inference, providing the ability to discover theoretically unlimited patterns in unbounded video streams. A promising by-product of our framework is online, abnormal activity detection. A benchmark video and two surveillance videos, with the longest being 140 hours long are used in our experiments. The patterns discovered are as informative as existing scene understanding algorithms. However, unlike existing work, we achieve near real-time execution and encouraging performance in abnormal activity detection.

Acetylation of alcohols and phenols using continuous-flow, tungstosilicic acid-supported, monolith microreactors with scale-up capability

A highly scalable and efficient flow-system has been developed to perform the catalyzed acetylation of alcohols and phenols, such as salicylic acid, at room temperature in excellent yield. The volumetric throughput and the amount of product can be increased simply by increasing the diameter of a versatile catalytic 12-tungstosilicic acid-supported, silica monolith can be used to increase the quantity of product produced without having to changeing the optimal operatingreaction conditions.

Implementation of innovative technologies in small-scale construction firms: five Australian case studies

Purpose - The users of construction technologies such as builders and trades people have been acknowledged as sources of potentially important innovations. These innovations may be in the form of safer, less labour intensive, or cheaper methods and processes. The purpose of this paper is to assess whether the Australian construction industry is providing an environment where user-based innovation is being supported and implemented. Design/methodology/approach - An explorative study was undertaken to provide an insight into actual experiences of the implementation of user-based innovation. The data were collected through faceto- face semi-structured interviews providing case studies on multiple aspects of the implementation of innovative construction technologies. The cases involved a cross section of advances, including product, tool, and system technologies. Findings - The main motivation behind developing the technologies was problem solving. The associated industries of manufacturing and retail, as well as consultants within the construction industry present the greatest barriers to implementation. Originality/value - This research provides a better understanding of the factors that are preventing the successful implementation of user-based innovative construction technologies in small firms.