Héctor R. Siller

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Process planning activities are critical in manufacturing distributed environments where different companies need to collaborate in product development. In this work, we propose a workflow model for a collaborative process planning environment in which original equipment manufacturer and suppliers companies interact with the help of Product Lifecycle(More)
The combination of microarray technologies with microfluidic sample delivery and real-time detection methods has the capability to simultaneously monitor 10-1000 s of biomolecular interactions in a single experiment. Despite the benefits that microfluidic systems provide, they typically operate in the laminar flow regime under mass transfer limitations,(More)
Miniaturization encourages the development of new manufacturing processes capable of fabricating features, like micro-channels, in order to use them for different applications, such as in fuel cells, heat exchangers, microfluidic devices and micro-electromechanical systems (MEMS). Many studies have been conducted on heat and fluid transfer in(More)
Despite the copious amount of research on the design and operation of micromixers, there are few works regarding manufacture technology aimed at implementation beyond academic environments. This work evaluates the viability of xurography as a rapid fabrication tool for the development of ultra-low cost microfluidic technology for extreme Point-of-Care (POC)(More)
In this paper we have modified an existing material model introduced by Cantournet and co-workers to take into account softening and residual strain effects observed in polymeric materials reinforced with carbon nanotubes when subjected to loading and unloading cycles. In order to assess the accuracy of the modified material model, we have compared(More)
Nowadays, the competitive global scenario has driven companies to work within Extended Enterprises. In this context, the collaborative product design and development process have to take into account all the geographically dispersed manufacturing resources. In order to enable collaboration, companies can take advantage of the capabilities offered by Product(More)
Despite the high performance of artificial intelligent (AI) models for part quality prediction and control in machining operations, only well-known analytical models are commonly used in industry. This paper compares different analytical models with AI models for quality assurance in the fabrication of fluidic channels in micro-milling operations. The(More)
This paper proposes an on-line adaptive control with optimization (ACO) system for optimizing the production cost subjected to quality constraints in high performance machining operations of hardened steel. Unlike traditional approaches for optimizing production cost, this paper deals with optimizing the cutting operation considering the real state of the(More)