In preventive maintenance, after-sale and terminal plants are first to address not the choice of an off-the-shelf model, but the identification of production, materials, exterior, gap, plasticization time and energy consumption. This step determines whether the subsequent spiral diameter, structure and material grade are well founded.

The effectiveness of the programme needs to be verified with the same materials, moulds and test methods. In addition to size and material reports, time measurement, buffer position, pressure curve, temperature, product weight, appearance and periodicity should also be recorded, with clear acceptance windows. Data-based delivery reduces disputes and facilitates subsequent replication. Technical communication distinguishes between three types of objectives that must be met, desired improvement and acceptable. It is necessary to meet the hard boundary of the item for the determination of equipment and screws, and it is hoped that the improvement item will be used for the comparison of standards and specialized programmes, while the acceptable item will help to control costs and deadlines. This would avoid stacking all requirements on a screw and would make it easier for clients to understand the real value of each configuration.

It is recommended that customer information be broken down into five groups: products and moulds, raw materials, platforms, process objectives and existing problems. Product end logs of single weight, flowway, number of caves, wall thickness and appearance levels; ratio of feedstock end recorder number, melting finger, filling, flame retardation and retrofitting; terminal logs of tonnage, voltage, screw diameter, maximum travel, injection pressure and plasticization. All data are sourced and are marked, drawn, physical, measured or estimated by clients. The focus of this paper is on production, materials, exteriors, gaps, plasticization time and energy consumption, which must correspond to the customer ' s current production conditions and not be limited to the maximum values in machine samples.

In the context of this project, it is proposed to use the idea of a “cycle of inspections per ton or hour”. First, to determine whether the available data support the choice, then to calculate the volume of reductive, pressure and plasticization, and finally to discuss the geometry, front-end components and material handling of the screws. If the standard formula is able to cover the window, priority should be given to the standard configuration; the risk of increased downtime losses still exists if replacement is delayed to a significant degree, before a dedicated structure is proposed, with an indication of increased costs, delivery periods and expected benefits.

The main risk of the scene was that the replacement would result in increased downtime losses when it was seriously inadequate. The issue of whether or not to be derived from a screw should first be excluded from drying, heating ring, thermal voltage, nozzles, reversible rings, wear and tearing of the material drums and changes in process parameters. The use of exclusions is more reliable than the direct replacement of components and also protects the time and cost of both the seller and the client.

At the time of acceptance, it was recommended that the main indicator should be the wear and tear rate and the accuracy of the planned shutdown, and that the temperature of the drums, the screw velocity, the back pressure, the measurement position, the buffer position, the injection peak pressure and the continuous sample weight be synchronized. At least three reasonable process points, low, medium and high, are covered to confirm that the programme is not effective under a single parameter. For aluminum manufacturers and vendors, professionalism is reflected in the ability to translate the client language into engineering parameters and to interpret the programme into production, quality, maintenance and cost results that the client can understand. The establishment of standard processes around preventive maintenance will not only improve the accuracy of this selection, but also create reusable machine and application databases.