1. Introduction
Nowadays, the design of aerospace jet engines requires the usage of advanced materials with high mechanical demands, high corrosion resistance, abrasion resistance, and high hardness, in various temperature conditions [
1,
2]. The specific requirements are fulfilled by hard-to-cut materials including titanium, cobalt and nickel alloys, and specific grades of stainless steel [
1,
3].
Stainless steel, thanks to the material properties, is widely used in applications for jet engine part manufacturing.
The martensitic 17-4PH stainless steel (e.g., AMS 5643) and austenitic 321 stainless steel (e.g., AMS5645) are applicable for engine cold section components such as engine casing (from small to large >ø1000 mm parts) due to their good mechanical properties, corrosion resistance, heat resistance, comparatively good manufacturing ability of fabrication, welding, and machining, and acceptable cost [
3,
4,
5].
The martensitic, solution heat-treated, precipitation-hardened 17-4PH stainless steel contains 15–17.5% chromium, 3–5% nickel, and 3–5% copper, along with manganese, silicon, niobium, and molybdenum [
5,
6]. According to the SAE AMS 5643 standard, the material has a tensile strength of 931–1310 MPa and a yield strength of 105–170 MPa. The machining ability range is determined up to the 30–40% level and may vary according to the material condition and hardness of the metal (277–444 HB) [
6].
The austenitic, solution heat-treated 321 stainless steel contains 17–19% chromium, 8–12% nickel, and up to 2% of manganese, along with titanium, molybdenum, silicon, copper, and nitrogen [
7]. According to the SAE AMS 5645 standard, the material has a tensile strength of 517 MPa and a yield strength of 207 MPa. The machining ability range is determined up to the 35–45% level and may vary according to the material condition and hardness of the metal (up to 255 HB) [
7].
Due to the relatively high density of 7.75–7.92 g/cm3 (compared to other materials used in the cold section of engines), the stainless steel structural parts are designed as thin-walled components in order to reduce the weight and manufacturing cost. Additionally, the large sheet metal engine cases are characterized high part complexity and integrated functionality.
Figure 1 shows an example of a large jet engine case made from various grades of stainless steel materials.
The difficulty of machining of selected stainless steel grades results from their high tensile strength, high ductility, high work-hardening rate, low thermal conductivity, and abrasive character [
2]. The machining, due to the material properties, generates relatively high heat emission, high cutting forces, difficulties with chip braking, built-up edge formation, and a high tool wear rate [
2,
9]. These phenomena reduce the machinability and directly affect parts’ behavior during machining in relation to the surface finish, dimensional accuracy and dimensional stability, and tool life [
2,
5,
10,
11].
The machining of thin-wall, complex casings is usually challenging and difficult due to the relatively large component size, frequent and self-excited part vibrations, parts’ susceptibility to deflection and tool chatter due to limited rigidity resulting from long overhang, and slim tool design for access to hard-to-reach areas [
3].
The next issue of the machining of large stainless steel cases results from the necessity of multiple, stepped tool passes with a limited depth of cut and limited cutting speed and feed on all machining stages, including roughing, semi-finishing, and finishing, to reduce the risk of part deflection and to achieve requirements of dimensional and geometrical tolerances of multiple machined features [
12].
The manufacturing processes of jet engine parts has to be prepared to ensure maximum quality and production performance and the lowest manufacturing cost [
9]. The machining concept has to be considered to take control of the numerous issues and challenges to ensure a stable and robust manufacturing process.
One of the solutions is the application of a closed-loop, adaptive process, performed on modern five-axis multitasking machine tools (mill/turn) with integrated, advanced part probing system capability [
12].
Measuring technologies are currently available on modern machine tools and are widely used for efficient manufacturing. The closed-loop process chain is especially notable for its complex part machining, which does not interrupt manufacturing procedures by external measurements [
13].
In many cases, the machining process of CNC multitasking machines has minimal human intervention [
14]. The significant growth of automated machining processes can also be observed in the aviation industry. The production of advanced components for jet engines is generally characterized by fewer pieces in the production batch, long machining times, machining complexity, high demand for quality parts, process accuracy, and repeatability. This type of production is possible by implementing closed-loop processes with wide touch-trigger probes (TTP) application [
15,
16,
17].
In the aviation industry, five-axis multitasking machine centers enable the implementation of complete machining in one clamping; this is accomplished by combining many types of machining functions, including turning, drilling, milling, boring, tapping, and grinding. These functions help to obtain geometrically complex elements that maintain the subject’s required dimensional and geometrical tolerance [
15,
16,
18,
19].
Part probing technology built-in machine tools (MTs) allow significant productivity increases, reduce human error, and develop a robust manufacturing process.
Part probing technology is currently used for workpiece setups and pre- and post-process part inspection. TTPs are often used for the in-process validation of dimensions, enabling the machine’s response to process variation and creating a closed-loop process adaptation based on dimensional part behavior during processing; this reduces the risk of non-conforming parts, which is important for the machining and significant workpiece cost of aviation parts. Measuring probes have also become essential for MTs condition checkup, kinematics, and geometric error compensation in machine tools. The complexity of TTP applications has led to treating MTs and on-machine measurement (OMM) as holistic machining systems [
13,
20,
21].
The common and optimal usage of on-MT measurements is limited by disadvantages, such as:
There is a variety of TTP behavior, in the case of the multi-probe system, because each probe is a separate tool, which distinguishes machine tool systems from CMM systems [
24]. Determining inaccurate measurements using TTPs is a complex problem due to the influence of different error sources that are not fully understood yet. Many different factors affect probing performance; therefore, probing errors must be considered in assessing MTs for accuracy and repeatability [
13].
The essential factors in total probing error budgets are shown in
Figure 2; they are organized into seven categories consisting of several factors. The operating environment comprises the shop floor, the MT workspace temperature, and the temperature’s long-term stability. The environmental variation affects measurements due to changes in both the MT and part behavior. Probe structure includes probe deflection, stylus length and shape, stylus tip type, and tip wear. Probe movement includes feed rate, direction, and force of tip impact, approach strategy (single or double touch), and stylus position (vertical, horizontal, or angled). The workpiece category consists of the type and shape of features and surface condition. The cleanliness category includes the cleanliness of the surface, spindle/tool shank, and stylus tip, which directly affect the measurement results.
The probing strategy consists of measurement paths and the number of points to measure. The machine tools category includes machine geometry and kinematics condition, accuracy and repeatability of positioning, and the spindle probe load’s reproducibility. Valid calibration data describe calibration data errors in reference to the probe and machine tool setup. The last category, probing qualification, comprises measuring procedures to identify probing errors and rules for uncertain measurement levels [
13,
25,
26,
27].
The complexity of machine components in the aviation industry demands access to hard-to-reach areas for feature measurements; therefore, it is necessary that custom or special TTPs and styli shapes fulfill the process requirements.
The implementation of a closed-loop process is possible provided that the probing system can be used for in-process and post-process measurements of parts on the machining level [
28]. Hence, it is necessary submit to control determining the variability of a measurement process across the Measuring System Analysis (MSA) statistical methods such as Repeatability and Reproducibility (R&R) [
28,
29].
Acceptable probing system capability is important due to the fact that MTs and probes are used under variable shop floor conditions and the fact that the measurement results affect the final part dimensions.
Jacniacka et al. [
25] studied the inspection probe uncertainty based on the measurement of the coordinates of the point, one- and two- dimensional length measurement, and length measurement using multiple measurement strategies. The achieved short-term results were stable and accurate; however, an impact on the results of machine tool geometry accuracy was observed also on the small CNC machine tool.
Bomba et al. [
28] tested a probing system based on the R&R method and statistical process control (SPC) of straight probes while carrying out an evaluation based on continuously collected data. A high R&R level was achieved and the SPC parameters of the analyzed system in relation to the manufacturing application were good.
Sepahi-Boroujeni et al. [
30] presented an advanced and complex method of part probing repeatability investigation and prediction in conjunction with a single probe in any probing position of a five-axis, tilting-table machine tool based on a spherical artifact and ring gauge artifact. The general model of probing repeatability was evaluated. It was found that the tested repeatability model can reliably portray the random behavior of a machine tool.
Holub et al. [
31] studied the application of a machining center with a touch-trigger probe as a measuring device. The probing system capability was verified based on a combined method with length dimension measurement by the straight touch probe in conjunction with a laser interferometer application. The research found that the achieved probing results were acceptable with tolerance greater 0.015mm. However, the authors recognized that it will be difficult to maintain similar results on large, heavy-duty machining centers on the real shop floor condition.
The ISO 230–10:2016 [
27] standard presents guidelines for the evaluation of probing system repeatability based on master gauge measurement and data records of the
X,
Y, and
Z axis in the specific position of the machine tool only [
30] and a simple probe configuration solely.
However, none of these articles evaluated measurement quality in conjunction with five-axis, tilting-head machine tools and with various touch-trigger probe configurations.
This article presents an alternative approach, a comparative performance analysis method of multi-configuration of TTP error evaluation. The presented methodology is a combined method with initial R&R study and a rapid method for measurement check ability, new probe implementation, probe correlation, and as a support tool of probing issue investigation. The presented method is not intended to eliminate the MSA methodology of probing systems or quality evaluation with methods of MT error identification [
22]; however, it can support statistical methods as a quick and direct shop floor diagnostic tool for probing and MT quality evaluation.
The research of the presented methodology was developed directly for closed-loop machining processes of large, thin-walled jet engine cases made from stainless steel materials with the use of complex probing systems on five-axis, tilting-head, multitasking machines based on manufacturing plant requirements.
The study includes the development of the method, the design and preparation of a dedicated master part, NC tape preparation, execution of tests, data acquisition and handling of initial, main, and support tests, and recognized issue investigation.
Section 2 describes the probing system used in regular manufacturing.
Section 3 presents details of the purpose of the comparative performance evaluation methodology.
Section 4 describes the data collection steps and results discussion.
Section 5 presents a summary of the study.