If you would like to write for this, or any other Emerald publication, then please use our Emerald for Authors service information about how to choose which publication to write for and submission guidelines are available for all. Please visit www.emeraldinsight.com/authors for more information. About Emerald www.emeraldinsight.comEmerald is a global publisher linking research and practice to the benefit of society. The company manages a portfolio of more than 290 journals and over 2,350 books and book series volumes, as well as providing an extensive range of online products and additional customer resources and services.Emerald is both COUNTER 4 and TRANSFER compliant. The organization is a partner of the Committee on Publication Ethics (COPE) and also works with Portico and the LOCKSS initiative for digital archive preservation. AbstractPurpose -Mechanical properties such as tensile, yield, impact strengths, and development of residual stresses play an important role intooling applications. The objective of this paper is to investigate the effect of layer thickness -one of the influential process parameters in stereolithography (SL) process, on mechanical properties of SL components. Design/methodology/approach -Test specimens are constructed as per the ASTM standards for different layer thicknesses in SL 5000 machine, using epoxy resin CIBA tool w SL5530, a high temperature resistant SL material that is suitable for rapid tooling applications. Tensile, yield and impact tests are carried out with suitable equipments. Residual stress is analysed using hole drill method. Findings -The analysis reveals that when the layer thickness is smaller, the strength of the part is higher. Research limitations/implications -Conclusion of this research is drawn based on the analysis of the most widely used three layer thicknesses of 100, 125 and 150 mm. X-ray diffraction or molecular resonance analysis may be useful to understand the reason for the variation in mechanical properties. Originality/value -This experimental study provides the useful information to the SL machine users in the selection of layer thickness to manufacture rapid tools.

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Industrial robots, due to their great speed, precision and cost‐effectiveness in repetitive tasks, now tend to be used in place of human workers in automated manufacturing systems. In particular, they perform the pick‐and‐place operation, a non‐value‐added activity which at the same time cannot be eliminated. Hence, minimum time is an important consideration for economic reasons in the trajectory planning system of the manipulator. The trajectory should also be smooth to handle parts precisely in applications such as semiconductor manufacturing, processing and handling of chemicals and medicines, and fluid and aerosol deposition. In this paper, an automated trajectory planner is proposed to determine a smooth, minimum‐time and collision‐free trajectory for the pick‐and‐place operations of a 6‐DOF robotic manipulator in the presence of an obstacle. Subsequently, it also proposes an algorithm for the jerk‐ bounded Synchronized Trigonometric S‐curve Trajectory (STST) and the ‘forbidden‐sphere’ technique to avoid the obstacle. The proposed planner is demonstrated with suitable examples and comparisons. The experiments show that the proposed planner is capable of providing a smoother trajectory than the cubic spline based trajectory

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A note on versions:The version presented here may differ from the published version or from the version of record. If you wish to cite this item you are advised to consult the publisher's version. Please see the repository url above for details on accessing the published version and note that access may require a subscription.For more information, please contact eprints@nottingham.ac.ukPage 1 of 31 Dear Sir,• We have modified the article to an extent including English corrections, red coloured expressions and the indications are critical and requesting your most observation.• Blue coloured segments are extensively modified to our understandings about the model. Kindly requested to have a glance over appropriate segments to check the flow of the connotation.• Rigorous modifications have been done at Section 4.2 to section 5 Discussions, kindly go through for the confirmation of 'values' mentioned and terminologies used like 'deviational coefficient' is replaced for 'coefficient'.• As we lack to understand about AMOS and its method, you kindly check the values indicated in the figures and tabels for the models and add explanation for the astrix (***) used.• Order of constructs has been changed in table 2. The original article mismatched with the orders Kindly suggest for further improvement of the paper.Thank you sir, G Satish. Page 2 of 31Influence of eco-innovation on Indian manufacturing sector sustainable performance AbstractManufacturing firms are striving to improve their sustainable performance in order to satisfy multiple stakeholders. Eco-innovation is a promising approach that decreases environmental impact and helps firms to increase their business value. There are several antecedents which help the firms to innovate and improve their triple bottom line performance. Among the antecedents, management and innovative practices are directly related to eco-innovation. It is not well known what practices and innovations help the firms to eco-innovate as well as to improve sustainable performance. Hence, the research objective of this paper is to identify the suitable combination of management and innovative practices that help firms to ecoinnovate as well as to achieve overall sustainable performance. The paper develops an ecoinnovation conceptual model which relates the management and innovative practices (antecedents) and overall sustainable performance (consequences) of Eco innovation using institutional theory. Using Indian manufacturing sector empirical data and Structural Equation Modelling (SEM) approach, this paper determines the effect of eco-innovation's antecedents and consequences. In the Indian context, this study suggests that the role of management practice is more significant towards eco-innovation than innovative practices.The results reflect practitioners' view on how to increase innovation rate and to focus more on social aspects. The finding suggests that training on environmental related practices could tackle innovation and social aspects in the Indian manufacturing sector context.