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Base de los procesos
Machine condition optimisation is an essential element of the process foundation.
The controls in the foundation layer of the Productive Process Pyramid™ maximise the stability of the environment and the performance of the machine on which the process will run. These preventative controls reduce the chances of special causes of variation having an impact on the machining process.
Optimise your machine's performance
The base layer of the Productive Process Pyramid, as its name suggests, provides a firm foundation on which an automated, capable process can be built. It aims to design variation out of the process, providing a controlled, stable environment in which the machining process can operate effectively.
These are preventative controls applied in advance.
Machine condition optimisation
Machine condition optimisation is an essential element of the process foundation, as an inaccurate machine cannot make consistently accurate parts. A rigorous process of machine performance assessment, calibration and (where required) refurbishment can bring the machine's performance in line with the process requirements.
- Machine tool positioning errors are one of the most common causes of dimensional and surface finish rejects
- Positioning errors in the machine tool can be attributed to geometric, dynamic and play errors within the machine tool
- Errors can occur even in new installations due to changes between factory sign off and first use in the factory
- Wear in use and machine 'crashes' can also cause performance to degrade over time
- If machine performance is known and controlled, investigations into non-conformance can be focussed on the process and not the machine
A machine that is 'fit for purpose' will deliver consistently good parts and will suffer fewer unplanned stoppages. This means more time available for metal cutting and also allows your maintenance staff to stop fire-fighting and become more proactive.
Regular checks of the condition of your machines with powerful diagnosis of the source of any errors, means that you can minimise reactive maintenance effort and focus on valuable preventative work.
Renishaw's XL-80 laser calibration, QC20 ballbar and AxiSet™ Check-Up systems are essential tools to gain a greater understanding of your machines' capabilities, to direct your maintenance efforts and keep control of the performance of your machines.
Other controls in the process foundation layer include:
Design for manufacture – an approach to product and process design based on a thorough understanding of current capability and a drive towards best practice rather than ‘reinvention of the wheel'. Key stages are:
- Rationalise machines, materials and tools
- Optimise cutting methods and parameters
- Characterise process performance
- Educate designers / customers about your actual manufacturing capabilities
Control of process inputs involves the use of process FMEA and similar techniques to understand and control all the upstream factors that can affect machining process outcomes. This can include ensuring consistent cutter geometry and tooling build standards, controlling clamping forces, locking down part programs and billet preparation.
Environmental stability addresses those external sources of non-conformance that cannot be eliminated in advance, but which are inherent to the operating environment. These include ambient temperature variation, whether the machine is warm or cold, machine and fixture cleanliness and tool life management. A key control here is a 'pre-flight checklist' to ensure that the machine tool is in an optimum condition before machining starts.
Process design can also have a big impact on process outcomes. A systematic approach to sequencing the manufacturing process gives the best opportunity for process stability and automation. This includes selecting machining strategies that allow tool offsets to be used to control the size and position of machined features, sequencing of rough and finish machining to avoid deflection and thermal distortion of finished surfaces, and integrating process feedback into the process at critical stages.
Productive Process Patterns
Educational article: (AP100) Productive Process Pattern: Machine condition monitoring - linear axes
When machining a component using a CNC machine tool, the quality of the finished part, for example surface finish and adherence to tolerance, is highly dependent on the positioning and contouring performance of the machine. To maintain machine performance, use a telescoping ballbar to conduct a rapid performance check as part of a preventative maintenance regime, before machine performance is compromised.
Educational article: (AP101) Productive Process Pattern: Machine condition monitoring - multi-axis
Productive Process Pattern™ from the foundation layer of the Productive Process Pyramid™. Use a workpiece inspection probe, which is often already fitted to complex machines, together with an AxiSet™ Check-Up system. In just a few minutes, users can identify and report on poor machine rotary axis alignments and, if necessary, alert the machine supplier to carry out further checks and possible error correction.
Folleto: Soluciones de metrología para un control de procesos productivo [es]
Transforme su productividad de fabricación con la ayuda de expertos en control de procesos
Libro blanco: La ley del más fuerte - el control de procesos es imprescindible [es]
En tiempos difíciles, los fabricantes intentan reducir sus costes operativos, pero es posible que no puedan afrontar el gasto necesario para su recuperación adquiriendo nueva maquinaria más productiva. Con esta vía cerrada ¿qué otras opciones quedan para recortar radicalmente los costes sin reemplazar las máquinas existentes? En este artículo se analizan cuatro áreas en las que es posible conseguir un ahorro considerable, siempre que las empresas estén dispuestas a modificar sus sistemas de control en los procesos de mecanizado.
Educational article: (AP010) Productive Process Pattern: Productive Process Patterns™
Introduction to the Productive Process Patterns™ - solutions for intelligent process control within manufacturing